AI in Education Market- Global Industry Analysis and Forecast (2022-2029)

AI in Education Market size was valued at US$ 2.02 Bn. in 2021 and the total revenue is expected to grow at 43.8% through 2022 to 2029, reaching nearly US$ 36.93 Bn.

AI in Education Market Overview:

Artificial intelligence (AI) is the concept and development of computer systems capable of doing repetitive jobs that need human intelligence. AI-enabled solutions and services in the education sector perform a variety of activities, including knowledge delivery, performance-based grading and grouping of scholars, and intelligent tutorial systems to improve student's and teacher's learning experiences. Global AI in Education MarketTo know about the Research Methodology :- Request Free Sample Report Through its result-driven approach, the integration of artificial intelligence in the education sector brings about transformation. The demand for AI in the education market is growing due to its applicability in solving difficulties such as language processing, reasoning, planning, and cognitive modelling. AI may also help organize and synthesize content to support content distribution in another learning technique. Deep learning, machine learning, and natural language processing (NLP) are used in education and training software to improve performance and learning. To improve educational systems for better knowledge delivery and assessment, AI technologies are deployed according to educational models such as the learner model, pedagogical model, and domain model. Many businesses and institutions are investing in AI technology in order to obtain a competitive advantage. To give the finest learning solutions to their students, educational institutions are partnering with AI technology businesses. North America is dominating the artificial intelligence in education market because of the widespread adoption of cloud-based services, desire for intelligent and personalized education. Many AI market players are forming strategic alliances in order to offer the best AI solutions and grow their product line.

AI in Education Market Dynamics:

The increased emphasis on conversational learning is a prominent trend in the AI in education market. Conversational learning has become a critical part of education around the world as the focus on digitization and e-learning has increased. Conversational learning is a concept in which information is provided in the form of a two-way dialogue. Conversational learning solutions make the learning process more engaging, interactive, and personalised for students. In this way, chatbots play a critical part in the learning process since they are programmed to meet the needs of the learner. To improve the learning experience, businesses are focusing on the development of AI-based learning platforms. For example, GoLearn Education Ltd. introduced GoLearn, an AI-based English Language Teaching & Learning (ELTL) platform, in September 2021. The company was able to offer an AI-based interactive learning platform for English teachers and students as a result of this product launch. Furthermore, chatbots provide students with appropriate knowledge, which leads to successful course completion and time savings. Students can use text or speech to communicate with the chatbot on course structure, schedules, and campus amenities. It also connects students with personal tutors for help with other educational issues. Driving Factors: The growth in the incorporation of intelligent adaptive learning (IAL), the quick development of IT, a cumulative collaboration of vendors and institutions, and the leveraging of the available device for learning are all factors driving the Global AI In Education Market. The rise in popularity of AI-powered educational games, the adoption of AI services via mobile devices, the deployment of a collaborative learning paradigm, and the facilitation of improved course design activities all present new market prospects. The growing desire for personalized education based on AI is a major driving force in the sector. Personalized learning solutions assist educators gain a deeper understanding of student's academic goals, interests, and educational backgrounds, allowing them to create a more personalized educational experience. Students can create courses that meet their needs and receive feedback on their progress during the course. Restraining Factors: Due to a lack of funds for basic IT infrastructure requirements in developing nations, AI-enabled deployments rely entirely on existing IT infrastructures, data, and Internet of Things (IoT) sensors for gathering instances and producing accurate results. The successful use of AI platforms in the education sector requires technological advancements, cloud infrastructures, big data, and well-organized data storage. Furthermore, in order to achieve a successful outcome, AI-enabled solutions in the education sector must be implemented in both online and offline environments. Although established countries have a high level of technical adaptation, emerging economies are predicted to have a slower pace of digitization, resulting in a slower development rate of the AI in education market.

AI in Education Market Segment Analysis:

Based on Deployment, The AI in Education Market is segmented into On-Premise and Cloud on the basis of deployment. The cloud segment of the AI in education market is expected to grow at a 50 percent CAGR through 2029. The increase is attributed to greater use of cloud services, which lowers the cost of ownership for educational institutions and allows them to invest in the infrastructure improvements needed to provide high-quality education. Furthermore, it enables schools and colleges to modernize their current infrastructure with advanced technology without incurring significant financial costs.Global AI in Education MarketTo know about the Research Methodology :- Request Free Sample Report Based on Component, The AI in Education Market is segmented into Solutions and Services on the basis of component. The Services component is estimated to grow at a faster CAGR during the forecast period, as demand for AI-enabled solutions and services in educational organizations has surged as a result of greater government funding and technical advancements. Based on Technology, The AI in Education Market is segmented into Deep Learning & ML and NLP on the basis of technology. During the projected period, NLP technology is expected to grow at a faster rate than machine learning and deep learning technology. This rapid growth can be linked to expanding demand for virtual support in K-12 schools and colleges, as well as increased educational institute investments in advanced technology. Furthermore, the use of NLP technology in the education business is growing to help interpret information stored in digital format and understand human languages from various data sets.Global AI in Education MarketTo know about the Research Methodology :- Request Free Sample Report Based on Application, The AI in Education Market is segmented into Virtual Facilitators & Learning Environments, ITS, CDS, Fraud and Risk Management on the basis of application. The application of virtual facilitators and learning environments is also known as digital education learning technology. Knowledge delivery, academic mapping and planning, student participation and administration, and real-time communication and collaboration are all features of VLEs. The AI-powered virtual facilitator serves as an instructor's assistant, a student mentor, and a multilingual translator. Individuals' learning requirements for independent educational programs and home-based education are met by these AI-enabled facilitators and surroundings. Furthermore, virtual environments allow students to handle complex real-time social problems by combining several disciplines and social development principles. Virtual facilitators and learning environments combine simulation, games, and artificial intelligence (AI) to motivate students and improve their learning experience.

AI in Education Market Regional Insights:

During the historical period, North America owned the highest share of the AI in education market. Furthermore, the market in the region is predicted to increase significantly over the forecast period. This is due to the region's well-developed educational infrastructure, as well as a growing focus on reducing the administrative burden on teachers, increasing EdTech spending, increasing demand for personalized learning in classrooms, and surging demand for intelligent educational solutions to improve student engagement and the learning system as a whole. The availability of large government funds and the presence of tech giants such as Microsoft, Google, and IBM are expected to propel the North American AI in education market to a 40% CAGR through 2029. The increasing use of mobile devices to access educational programs and study materials has prompted software developers to create software that is compatible with these devices. During the projected period, Asia Pacific is expected to grow at the fastest rate. This is due to the large number of end-users who use educational gadgets, which has resulted in a higher demand for AI-enabled solutions and services in this market. The objective of the report is to present a complete picture of global AI in Education market. Data from past years is compiled to anticipate the future prospects of this market. Porter's five forces help to identify where power lies in a business situation. This is useful both in understanding the strength of an organisation's current competitive position, and the strength of a position that an organisation may look to move into. The report helps in identifying competitive rivalry currently running in the AI in Education market. It also helps to understand bargaining power of suppliers and consumers. The report also presents PESTLE analysis which helps to gain a macro picture of AI in Education market. Political factors help to identify the influence of government over AI in Education market. Economic factors a have direct impact on a company’s long-term prospects in a market. The economic environment may affect how a company dealing in AI in Education market price their products or influence the supply and demand model. Social factors, such as demographics and culture can impact the AI in Education market by influencing peak buying periods, purchasing habits, and lifestyle choices. Technological factors may have a direct or an indirect influence on an industry. The legal and regulatory environment can affect the policies and procedures of an industry, and can control employment, safety and regulations. Environmental factors include all those relating to the physical environment and to general environmental protection requirements.

AI in Education Market Scope: Inquiry Before Buying

AI in Education Market
Report Coverage Details
Base Year: 2021 Forecast Period: 2022-2029
Historical Data: 2017 to 2021 Market Size in 2021: US $ 2.02 Bn.
Forecast Period 2022 to 2029 CAGR: 43.8 % Market Size in 2029: US $ 36.93 Bn.
Segments Covered: by Deployment • On-Premise • Cloud
by Component • Solutions • Services
by Technology • Deep Learning & ML • NLP
by Application • Virtual Facilitators & Learning Environments • ITS • CDS • Fraud and Risk Management

AI in Education Market, by Region:

• North America • Europe • Asia Pacific • Middle East and Africa • South America

AI in Education Market Key Players:

IBM (US) • Microsoft (US) • Bridge-U (UK) • DreamBox Learning (US) • Fishtree (US) • Jellynote (France) • Jenzabar (US) • Knewton (US) • Metacog (US) • Querium Corporation (US) • Google (US) • AWS (US) • Cognizant (US) • Carnegie Learning (US) • Century-Tech (UK) • Cognii (US) • Elemental Path (US) • Liulishuo (China) • Nuance Communications (US) • Osmo (US) • Pearson (UK) • Third Space Learning (UK) • Quantum Adaptive Learning (US) • ALEKS (US) • Blackboard (US) Frequently Asked Questions: 1. What is the CAGR of the AI in Education Market in the forecast period (2022-29)? Ans. AI in Education Market revenue is expected to grow at 43.8% through 2022 to 2029 2. Who are the key players in the AI in Education Market? Ans. IBM (US), Microsoft (US), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar (US), Knewton (US), Metacog (US), Querium Corporation (US), Google (US), AWS (US), Cognizant (US), Carnegie Learning (US), Century-Tech (UK), Cognii (US), Elemental Path (US), Liulishuo (China), Nuance Communications (US), Osmo (US), Pearson (UK), Third Space Learning (UK), Quantum Adaptive Learning (US), ALEKS (US) and Blackboard (US) are the key players in AI in Education Market. 3. Which are the applications in the AI in Education Market? Ans. Virtual Facilitators & Learning Environments, ITS, CDS and Fraud and Risk Management are the applications in the AI in Education Market. 4. What segments are covered in the AI in Education Market report? Ans. The segments covered in AI in Education Market report are based on deployment, component, technology, application and region. 5. What is the forecast period for the AI in Education Market? Ans. The forecast period for the AI in Education Market is 2022-2029.
1. AI in Education Market: Research Methodology 2. AI in Education Market: Executive Summary 2.1. Market Overview and Definitions 2.1.1. Introduction to AI in Education Market 2.2. Summary 2.2.1. Key Findings 2.2.2. Recommendations for Investors 2.2.3. Recommendations for Market Leaders 2.2.4. Recommendations for New Market Entry 3. AI in Education Market: Competitive Analysis 3.1. MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2. Consolidation in the Market 3.2.1 M&A by region 3.3. Key Developments by Companies 3.4. Market Drivers 3.5. Market Restraints 3.6. Market Opportunities 3.7. Market Challenges 3.8. Market Dynamics 3.9. PORTERS Five Forces Analysis 3.10. PESTLE 3.11. Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • South America 3.12. COVID-19 Impact 4. AI in Education Market Segmentation 4.1. AI in Education Market, by Deployment (2021-2029) • On-Premise • Cloud 4.2. AI in Education Market, by Component (2021-2029) • Solutions • Services 4.3. AI in Education Market, by Technology (2021-2029) • Deep Learning & ML • NLP 4.4. AI in Education Market, by Application (2021-2029) • Virtual Facilitators & Learning Environments • ITS • CDS • Fraud and Risk Management 5. North America AI in Education Market (2021-2029) 5.1. North America AI in Education Market, by Deployment (2021-2029) • On-Premise • Cloud 5.2. North America AI in Education Market, by Component (2021-2029) • Solutions • Services 5.3. North America AI in Education Market, by Technology (2021-2029) • Deep Learning & ML • NLP 5.4. North America AI in Education Market, by Application (2021-2029) • Virtual Facilitators & Learning Environments • ITS • CDS • Fraud and Risk Management 5.5. North America AI in Education Market, by Country (2021-2029) • US • Canada • Mexico 6. European AI in Education Market (2021-2029) 6.1. European AI in Education Market, by Deployment (2021-2029) 6.2. European AI in Education Market, by Component (2021-2029) 6.3. European AI in Education Market, by Technology (2021-2029) 6.4. European AI in Education Market, by Application (2021-2029) 6.5. European AI in Education Market, by Country (2021-2029) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 7. Asia Pacific AI in Education Market (2021-2029) 7.1. Asia Pacific AI in Education Market, by Deployment (2021-2029) 7.2. Asia Pacific AI in Education Market, by Component (2021-2029) 7.3. Asia Pacific AI in Education Market, by Technology (2021-2029) 7.4. Asia Pacific AI in Education Market, by Application (2021-2029) 7.5. Asia Pacific AI in Education Market, by Country (2021-2029) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 8. Middle East and Africa AI in Education Market (2021-2029) 8.1. Middle East and Africa AI in Education Market, by Deployment (2021-2029) 8.2. Middle East and Africa AI in Education Market, by Component (2021-2029) 8.3. Middle East and Africa AI in Education Market, by Technology (2021-2029) 8.4. Middle East and Africa AI in Education Market, by Application (2021-2029) 8.5. Middle East and Africa AI in Education Market, by Country (2021-2029) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 9. South America AI in Education Market (2021-2029) 9.1. South America AI in Education Market, by Deployment (2021-2029) 9.2. South America AI in Education Market, by Component (2021-2029) 9.3. South America AI in Education Market, by Technology (2021-2029) 9.4. South America AI in Education Market, by Application (2021-2029) 9.5. South America AI in Education Market, by Country (2021-2029) • Brazil • Argentina • Rest Of South America 10. Company Profile: Key players 10.1. IBM (US) 10.1.1. Overview 10.1.2. Financial Overview 10.1.3. Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2. Microsoft (US) 10.3. Bridge-U (UK) 10.4. DreamBox Learning (US) 10.5. Fishtree (US) 10.6. Jellynote (France) 10.7. Jenzabar (US) 10.8. Knewton (US) 10.9. Metacog (US) 10.10. Querium Corporation (US) 10.11. Google (US) 10.12. AWS (US) 10.13. Cognizant (US) 10.14. Carnegie Learning (US) 10.15. Century-Tech (UK) 10.16. Cognii (US) 10.17. Elemental Path (US) 10.18. Liulishuo (China) 10.19. Nuance Communications (US) 10.20. Osmo (US) 10.21. Pearson (UK) 10.22. Third Space Learning (UK) 10.23. Quantum Adaptive Learning (US) 10.24. ALEKS (US) 10.25. Blackboard (US)

About This Report

Report ID 63174
Category Information Technology & Telecommunication
Published Date Sept 2022
Updated Date
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