Artificial intelligence is a term used to describe the theory and creation of computer systems capable of carrying out laborious, repetitive jobs that call for human intellect. Al-enabled products and services are used in the education sector to deliver knowledge, grade and group students according on performance, and create intelligent tutorial systems to enhance the learning experiences of both students and teachers.
In addition, software used in education and training is enhanced with the use of technologies such as deep learning, machine learning, and natural language processing (NLP). All technological advancements are made in accordance with educational models such as the learner model, pedagogical model, and domain model in order to enhance educational systems and enable better knowledge delivery and assessment.
Moreover, the demand for artificial intelligence (AI) in education is being driven by factors such as rising investments in AI and EdTech by the public and private sectors, as well as rising edutainment penetration. Moreover, the demand for AI in education globally is also being fueled by technological innovation. Industries all across the world were severely affected by the COVID-19 pandemic. But during the epidemic, the market saw a marked increase in demand for creative AI-based teaching solutions.
Furthermore, personalized education and adaptive learning, virtual assistants and smart tutoring and improvements in administrative efficiency are primarily driving the growth of artificial intelligence in education market. However, privacy and ethical issues and access issues and equity concerns hamper the market growth to some extent. Moreover, enhanced motivation and engagement of students and data-driven decision making are expected to provide lucrative opportunities for market growth during the forecast period.
On the basis of component, solution segment dominated the AI in education market in 2022, and is expected to maintain its dominance in the upcoming years owing to rising usage and development of artificial intelligence technologies in the educational sector propels the market growth significantly. However, service segment is expected segment is expected to witness highest growth, owing to gain knowledge about learning patterns, instructional efficacy, and student outcomes, these platforms gather and analyze enormous volumes of educational data, including student performance, engagement, and behavior.
Artificial intelligence in education market is segmented into component, deployment, technology, application, end user, and region. On the basis of component, it is segregated into solutions and services. On the basis of deployment, it is segregated into on-premise and cloud. On the basis of technology, it is segregated into machine learning and deep learning and natural language. On the basis of application, it is segregated into learning platform & virtual facilitators, smart content delivery, fraud and risk management, intelligent tutoring system (ITS) and others. On the basis of end user, it is segregated into corporate learning, K-12 education, higher education and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
On the basis of region, North America region dominated the AI in education market in 2022, and is expected to maintain its dominance in the upcoming years, owing to to the increasing technical developments that are entirely revolutionizing the landscape of the IT industry and, in turn, encouraging the drive for the implementation of efficient servers and networking solutions. However, Asia Pacific region is expected segment is expected to witness highest growth, owing to increase the efficacy and quality of education offered by artificial intelligence in education industry has increased due to the sizeable population and growing emphasis on education in Asia-Pacific.
In addition, software used in education and training is enhanced with the use of technologies such as deep learning, machine learning, and natural language processing (NLP). All technological advancements are made in accordance with educational models such as the learner model, pedagogical model, and domain model in order to enhance educational systems and enable better knowledge delivery and assessment.
Moreover, the demand for artificial intelligence (AI) in education is being driven by factors such as rising investments in AI and EdTech by the public and private sectors, as well as rising edutainment penetration. Moreover, the demand for AI in education globally is also being fueled by technological innovation. Industries all across the world were severely affected by the COVID-19 pandemic. But during the epidemic, the market saw a marked increase in demand for creative AI-based teaching solutions.
Furthermore, personalized education and adaptive learning, virtual assistants and smart tutoring and improvements in administrative efficiency are primarily driving the growth of artificial intelligence in education market. However, privacy and ethical issues and access issues and equity concerns hamper the market growth to some extent. Moreover, enhanced motivation and engagement of students and data-driven decision making are expected to provide lucrative opportunities for market growth during the forecast period.
On the basis of component, solution segment dominated the AI in education market in 2022, and is expected to maintain its dominance in the upcoming years owing to rising usage and development of artificial intelligence technologies in the educational sector propels the market growth significantly. However, service segment is expected segment is expected to witness highest growth, owing to gain knowledge about learning patterns, instructional efficacy, and student outcomes, these platforms gather and analyze enormous volumes of educational data, including student performance, engagement, and behavior.
Artificial intelligence in education market is segmented into component, deployment, technology, application, end user, and region. On the basis of component, it is segregated into solutions and services. On the basis of deployment, it is segregated into on-premise and cloud. On the basis of technology, it is segregated into machine learning and deep learning and natural language. On the basis of application, it is segregated into learning platform & virtual facilitators, smart content delivery, fraud and risk management, intelligent tutoring system (ITS) and others. On the basis of end user, it is segregated into corporate learning, K-12 education, higher education and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
On the basis of region, North America region dominated the AI in education market in 2022, and is expected to maintain its dominance in the upcoming years, owing to to the increasing technical developments that are entirely revolutionizing the landscape of the IT industry and, in turn, encouraging the drive for the implementation of efficient servers and networking solutions. However, Asia Pacific region is expected segment is expected to witness highest growth, owing to increase the efficacy and quality of education offered by artificial intelligence in education industry has increased due to the sizeable population and growing emphasis on education in Asia-Pacific.
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence in education market analysis from 2022 to 2032 to identify the prevailing artificial intelligence in education market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the artificial intelligence in education market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global artificial intelligence in education market trends, key players, market segments, application areas, and market growth strategies.
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Key Market Segments
By Application
- Learning Platform and Virtual Facilitators
- Smart Content Delivery
- Fraud and Risk Management
- Intelligent Tutoring System (ITS)
- Others
By End User
- Higher Education
- K-12 Education
- Corporate Training and Learning
- Others
By Component
- Solution
- Services
By Deployment Mode
- On-premise
- Cloud
By Technology
- Machine Learning and Deep Learning
- Natural Language Processing (NLP)
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
- Amazon Web Services, Inc.
- BridgeU
- Carnegie Learning, Inc.
- Cognizant
- DreamBox Learning, Inc.
- Google LLC
- International Business Machines Corporation
- Microsoft Corporation
- Nuance Communications, Inc.
- Pearson PLC
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY COMPONENT
CHAPTER 5: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY DEPLOYMENT MODE
CHAPTER 6: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY TECHNOLOGY
CHAPTER 7: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY APPLICATION
CHAPTER 8: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY END USER
CHAPTER 9: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET, BY REGION
CHAPTER 10: COMPETITIVE LANDSCAPE
CHAPTER 11: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to this report, the artificial intelligence in education market was valued at $2.5 billion in 2022, and is estimated to reach $88.2 billion by 2032, growing at a CAGR of 43.3% from 2023 to 2032.Artificial intelligence in education refers to the application of AI technologies and techniques to enhance and optimize various aspects of the educational process. It involves the use of advanced algorithms, machine learning, and data analytics to analyze vast amounts of educational data, identify patterns, and make informed decisions to improve teaching, learning, and administrative processes within the education sector.
Furthermore, software used in education and training is enhanced with the use of technologies such as deep learning, machine learning, and natural language processing (NLP). All technological advancements are made in accordance with educational models such as the learner model, pedagogical model, and domain model in order to enhance educational systems and enable better knowledge delivery and assessment. The demand for artificial intelligence (AI) in education is being driven by factors such as rising investments in AI and EdTech by the public and private sectors, as well as rising edutainment penetration. Moreover, the demand for AI in education globally is also being fueled by technological innovation. Industries all across the world were severely affected by the COVID-19 pandemic. But during the epidemic, the market saw a marked increase in demand for creative AI-based teaching solutions
Moreover, personalized education and adaptive learning, virtual assistants and smart tutoring and improvements in administrative efficiency are primarily driving the growth of artificial intelligence in education market. However, privacy and ethical issues and access issues and equity concerns hamper the market growth to some extent. Moreover, enhanced motivation and engagement of students and data-driven decision making are expected to provide lucrative opportunities for market growth during the forecast period.
The AI in education market is segmented into component, deployment, technology, application, end user, and region. On the basis of component, it is segregated into solutions and services. On the basis of deployment, it is segregated into on-premise and cloud. On the basis of technology, it is segregated into machine learning and deep learning and natural language. On the basis of application, it is segregated into learning platform & virtual facilitators, smart content delivery, fraud and risk management, intelligent tutoring system (ITS) and others. On the basis of end user, it is segregated into corporate learning, K-12 education, higher education and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the AI in education market are Microsoft Corporation, International Business Machines Corporation, Amazon Web Services, Inc., Google llc, Cognizant, Dreambox Learning, Inc., Bridgeu, Carnegie Learning, Inc., Pearson Plc, Nuance Communications, Inc. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the AI in education market globally. For instance, in June 2023, Microsoft launched a a new AI Skills Initiative to help people and communities worldwide learn how to harness the power of artificial intelligence. The initiative will include new, free coursework developed with LinkedIn, including the first Professional Certificate on Generative AI in the online learning market. In addition, in March 2023, Amazon partnered with IIT Bombay, its primary focus is on advancing artificial intelligence (AI) and machine learning (ML) in the areas of speech, language, and multimodal AI domains.
Key Market Insights
By component, the solutions segment was the highest revenue contributor to the market in 2022, and is estimated to reach $54.40 billion by 2032, with a CAGR of 42.0%. However, the services segment is estimated to be the fastest-growing segment with a CAGR of 45.6% during the forecast period.By deployment mode, the on-premise segment dominated the global market share in 2022, and is estimated to reach $28.60 billion by 2032, with a CAGR of 38.8%, However, the cloud segment is expected to be the fastest growing segment with a CAGR of 46.1% during the forecast period.
By technology, the machine learning and deep learning segment was the highest revenue contributor to the market in 2022, and is estimated to reach $54.40 billion by 2032, with a CAGR of 41.6%. However, the natural language processing (NLP) segment is estimated to be the fastest-growing segment with a CAGR of 46.6% during the forecast period.
By application, the learning platform and virtual facilitators segment was the highest revenue contributor to the market in 2022, and is estimated to reach $28.78 billion by 2032, with a CAGR of 40.3%. However, the fraud and risk management segment is estimated to be the fastest-growing segment with a CAGR of 47.2% during the forecast period.
By end user, the Higher Education segment was the highest revenue contributor to the market in 2022, and is estimated to reach $31.67 billion by 2032, with a CAGR of 41.3%. However, the K-12 Education segment are estimated to be the fastest-growing segment with a CAGR of 46.5% during the forecast period.
Region wise, North America was the highest revenue contributor, accounting for $923.2 million in 2022 and is estimated to reach $26.46 billion by 2032, with a CAGR of 40.2%.
Companies Mentioned
- Amazon Web Services, Inc.
- BridgeU
- Carnegie Learning, Inc.
- Cognizant
- DreamBox Learning, Inc.
- Google LLC
- International Business Machines Corporation
- Microsoft Corporation
- Nuance Communications, Inc.
- Pearson PLC
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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