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    Artificial Intelligence Education Market

    ID: MRFR/ICT/4904-CR
    100 Pages
    Shubham Munde
    March 2023

    Artificial Intelligence in Education Market Research Report Information By Application (Content Delivery Systems), By Technology (Machine Learning, Natural Learning Process), By Deployment Type (On-Cloud, On-Premise), By Component (Service, Software) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032

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    Table of Contents

    Artificial Intelligence Education Market Summary

    As per Market Research Future Analysis, the Artificial Intelligence in Education Market is projected to grow from USD 4.7 Billion in 2024 to USD 26.43 Billion by 2032, with a CAGR of 37.68% during the forecast period. The market was valued at USD 3.45 Billion in 2023, driven by increased adoption of AI services in educational institutions and a focus on digital transformation. The Content Delivery Systems segment accounted for 35% of the market revenue, while Machine Learning emerged as the leading technology segment. North America is expected to dominate the market due to its advanced educational infrastructure and early adoption of AI technologies.

    Key Market Trends & Highlights

    Key trends driving the Artificial Intelligence in Education market include technological advancements and increased digital resource utilization.

    • Market size in 2024: USD 4.7 Billion; projected to reach USD 26.43 Billion by 2032.
    • CAGR of 37.68% during the forecast period (2024 - 2032).
    • Content Delivery Systems segment held 35% of market revenue.
    • On-Premise AI sector valued at over USD 3 Billion in 2022.

    Market Size & Forecast

    2023 Market Size USD 3.45 Billion
    2024 Market Size USD 4.7 Billion
    2032 Market Size USD 26.43 Billion

    Major Players

    Major players include IBM Corporation, Microsoft Corporation, Google, Pearson, and DreamBox Learning.

    Artificial Intelligence Education Market Trends

    AI technology is strengthening and raising the experience and knowledge of teachers and pupils, will market growth

    Vendors of AI technology are creating electrical gadgets with AI capabilities by creating sophisticated learning systems that enhance learning procedures. To survive in a cutthroat world, educational institutions must provide the finest learning environment. For instance, Century Intelligent Learning created a classroom employing AI technology that allows professors to create academic curricula online, allowing students to access their curricula whenever they choose. Moreover, based on the aptitude test results that the student administered, AI technology is utilized to spot knowledge gaps and suggest courses for them to study. AI technology examines these questions to determine the pupils' strengths and shortcomings.

    The instructors' and students' experience and knowledge are improved through AI-enabled educational products and services. Teachers and parents may better understand their students' performance using these products and services.

    The education sector is being digitally transformed, increasing demand for on-premise AI. In 2022, the on-premise sector of Artificial Intelligence in the Education market reached a valuation of over USD 3 billion. The use of an on-premises AI model has increased due to the digital revolution in the education industry since it can successfully engage students and boost income through new conversational channels. Also, many academic institutions are investing in upskilling their students to stay up with the rapidly changing digital Technology. Thus, driving the Artificial Intelligence in Education market revenue.

    The integration of artificial intelligence in education is poised to transform traditional learning environments, enhancing personalized learning experiences and improving educational outcomes for diverse student populations.

    U.S. Department of Education

    Artificial Intelligence Education Market Drivers

    Increased Adoption of E-Learning Platforms

    The Global Artificial Intelligence in Education Market Industry experiences a surge in the adoption of e-learning platforms, driven by the need for flexible and accessible education solutions. As educational institutions increasingly integrate AI technologies into their curricula, the market is projected to reach 4.7 USD Billion in 2024. This shift allows for personalized learning experiences, catering to diverse student needs. For instance, platforms utilizing AI algorithms can analyze student performance data to tailor educational content, enhancing engagement and retention. The growing preference for online learning environments indicates a robust trajectory for the industry, suggesting that the demand for AI-driven educational tools will continue to rise.

    Market Segment Insights

    Artificial Intelligence in Education Application Insights

    Based on Application, the Artificial Intelligence in Education Market segmentation includes Content Delivery Systems. The Content Delivery Systems segment dominated the market, accounting for 35% of the Artificial Intelligence in Education market revenue. A network of proxy servers and accompanying data centers that are geographically dispersed is known as a content delivery network or content distribution network. Spreading the Service spatially to end customers aims to deliver high availability and performance.

    Artificial Intelligence in Education Technology Insights

    The Artificial Intelligence in Education Market segmentation, based on Technology, includes Machine Learning, Natural Learning Processes. The Machine Learning category generated the most income. The expansion of virtual assistance in K–12 and high school classrooms, fueled by increasing educational institutions' expenditures in AI technology, is responsible for the rise of Artificial Intelligence in the Education market segment. The AI in education market is divided into Natural Language Processing (NLP) and Machine Learning based on Technology.

    Also, the use of ML technology in the education industry has grown due to the development of tools for reading knowledge that has been recorded digitally and tools for using data sets to interpret human language.

    Artificial Intelligence in Education Deployment Type Insights

    Based on deployment type, the global Artificial Intelligence in the Education industry has been segmented into On-Cloud and On-Premise. On-Cloud held the largest segment share in 2022. Reduced ownership costs and a growing demand for educational data sharing among international campuses are two reasons that have contributed to the expansion of the cloud segment. Moreover, it enables academic institutions to integrate cutting-edge AI technology into their current operating model without increasing their capital expenditures.

    Figure 2: Artificial Intelligence in Education Market, by Deployment Type, 2022 & 2030 (USD billion)

    Artificial Intelligence in Education Market, by Deployment Type, 2022 & 2030

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Artificial Intelligence in Education Component Insights

    Based on Components, the global Artificial Intelligence in the Education industry has been segmented into Services and Software. Service held the largest segment share in 2022. Due to expanding government backing and technical improvements, there is a growing need among educational organizations for AI-enabled products and services.

    Regional Insights

    By Region, the study provides AI in education market insights into North America, Europe, Asia-Pacific and the Rest of the World. North American Artificial Intelligence in the Education market area will dominate this market. This is attributable to the Region's early embrace of cutting-edge technologies. Also, a strong educational system, particularly in the United States and Canada, is projected to fuel market expansion. The market is expanding due to the increasing use of sophisticated tutoring systems, chatbots, and other tools for higher-quality education, as well as better learning tactics that use deep learning and machine learning approaches.

    Further, the major countries studied in the AI in education market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    Figure 3: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET SHARE BY REGION 2022 (%)

    ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET SHARE BY REGION 2022

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Due to the Region's highly established educational infrastructure, Europe Artificial Intelligence in the Education market is predicted to have considerable development in industry. Over the projected period, rising digitalization initiatives and AI investments are also anticipated to promote market expansion. Further, Germany's Artificial Intelligence in the Education market held the largest market share, and the UK Artificial Intelligence in the Education market was the fastest-growing market in the European Region.

    Due to the increasing need for digitization and government efforts like e-governance in India towards Digital India, the Asia Pacific Artificial Intelligence in the Education market is predicted to have significant development. Furthermore, to help students become the leading innovators of the AI revolution, the Indian government is supporting the use of Technology in teaching in schools and colleges. Aside from that, the worldwide artificial Intelligence in education market is anticipated to grow throughout the forecast period, 2019–2026, due to the Indian government's Digital India project, which aims to increase the rate of digital literacy in various technologies, including AI.

    Moreover, China's Artificial Intelligence in the Education market held the largest market share, and India's Artificial Intelligence in the Education market was the fastest-growing market in the Asia-Pacific region.

    Key Players and Competitive Insights

    Leading industry companies are investing significantly in R&D to broaden their product offerings, which will spur further expansion of Artificial Intelligence in the Education market. Important market developments include new product releases, contractual agreements, mergers and acquisitions, greater investments, and collaboration with other organizations. Market participants also engage in several strategic actions to increase their worldwide presence. Artificial Intelligence in the Education industry must offer products at reasonable prices to grow and thrive in a more cutthroat and competitive environment.

    One of the primary business strategies manufacturers employ in Artificial Intelligence in the Education industry to benefit customers and expand the market sector is local manufacturing to reduce operating costs. Some of the biggest medical benefits in recent years have come from Artificial Intelligence in the Education sector. Major players in the Artificial Intelligence in Education market, including IBM Corporation (US), Microsoft Corporation (US), Google (US), com Inc. (US), Cognizant (US), Pearson (UK), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar Inc. (US)., and others, are attempting to increase market demand by investing in research and development operations.

    With its headquarters in Armonk, New York, and operations in more than 175 nations, the International Business Machines Corporation, sometimes known as Big Blue, is an American global technology company. SXiQ, an Australian provider of digital transformation services focused on cloud platforms, cloud apps, and cloud cybersecurity, was acquired by IBM Corporation in November 2021. The acquisition is anticipated to improve IBM Consulting's capacity to update technological infrastructure and cloud-based applications in New Zealand and Australia.

    K–12 education services for math, literacy and ELA, foreign languages, and applied sciences are offered by Carnegie Learning, Inc. Pittsburgh, Pennsylvania's Union Trust Building is home to Carnegie Learning, Inc. At a price of USD 15 million, Carnegie Learning Inc., a top provider of K–12 education solutions, bought Scientific Learning Company in September 2020. This purchase aims to improve learning outcomes and boost the company's portfolio of educational technologies.

    Key Companies in the Artificial Intelligence Education Market market include

    Industry Developments

    When ChatGPT became widely accessible last month, it swept the globe. It could respond to questions with remarkable fluency and coherence using artificial intelligence, and among other things, it might pass muster as a respectable written response to a class assignment.

    In this series, educators will discuss their thoughts on how recent breakthroughs in AI technology may impact our classrooms.

    On May 13, 2022, the inaugural Day of AI brought artificial intelligence literacy to classrooms around the globe. Day of AI is an initiative of MIT Responsible AI for Social Empowerment and Education (RAISE), and it gives instructors the chance to discuss artificial intelligence (AI) with K–12 students from all backgrounds about its application in their daily lives.

    Artificial Intelligence in Education Market Trends

    AI technology is strengthening and raising the experience and knowledge of teachers and pupils, will market growth

    Vendors of AI technology are creating electrical gadgets with AI capabilities by creating sophisticated learning systems that enhance learning procedures. To survive in a cutthroat world, educational institutions must provide the finest learning environment. For instance, Century Intelligent Learning created a classroom employing AI technology that allows professors to create academic curricula online, allowing students to access their curricula whenever they choose. Moreover, based on the aptitude test results that the student administered, AI technology is utilized to spot knowledge gaps and suggest courses for them to study. AI technology examines these questions to determine the pupils' strengths and shortcomings.

    The instructors' and students' experience and knowledge are improved through AI-enabled educational products and services. Teachers and parents may better understand their students' performance using these products and services.

    Increasing focus on effectively using digital resources to encourage managed service sector growth. The managed service market sector, which falls under services, held a sizeable Artificial Intelligence in Education market share in 2022 and is projected to expand considerably between 2023 and 2032. Using reliable technologies to automate processes and give assistance, managed IT services help schools and other educational institutions operate more efficiently when necessary. This frees up teachers' time to concentrate on teaching and to learn rather than technology administration.

    Also, the requirement for managed IT services to help educational institutions make efficient use of their digital resources has been greatly driven by the increasing focus that educational institutions are placing on cost reduction.

    The education sector is being digitally transformed, increasing demand for on-premise AI. In 2022, the on-premise sector of Artificial Intelligence in the Education market reached a valuation of over USD 3 billion. The use of an on-premises AI model has increased due to the digital revolution in the education industry since it can successfully engage students and boost income through new conversational channels. Also, many academic institutions are investing in upskilling their students to stay up with the rapidly changing digital Technology. Thus, driving the Artificial Intelligence in Education market revenue.

    Artificial Intelligence in Education Market Segment Insights

    Artificial Intelligence in Education Application Insights

    Based on Application, the Artificial Intelligence in Education Market segmentation includes Content Delivery Systems. The Content Delivery Systems segment dominated the market, accounting for 35% of the Artificial Intelligence in Education market revenue. A network of proxy servers and accompanying data centers that are geographically dispersed is known as a content delivery network or content distribution network. Spreading the Service spatially to end customers aims to deliver high availability and performance.

    Artificial Intelligence in Education Technology Insights

    The Artificial Intelligence in Education Market segmentation, based on Technology, includes Machine Learning, Natural Learning Processes. The Machine Learning category generated the most income. The expansion of virtual assistance in K–12 and high school classrooms, fueled by increasing educational institutions' expenditures in AI technology, is responsible for the rise of Artificial Intelligence in the Education market segment. The AI in education market is divided into Natural Language Processing (NLP) and Machine Learning based on Technology.

    Also, the use of ML technology in the education industry has grown due to the development of tools for reading knowledge that has been recorded digitally and tools for using data sets to interpret human language.

    Artificial Intelligence in Education Deployment Type Insights

    Based on deployment type, the global Artificial Intelligence in the Education industry has been segmented into On-Cloud and On-Premise. On-Cloud held the largest segment share in 2022. Reduced ownership costs and a growing demand for educational data sharing among international campuses are two reasons that have contributed to the expansion of the cloud segment. Moreover, it enables academic institutions to integrate cutting-edge AI technology into their current operating model without increasing their capital expenditures.

    Figure 2: Artificial Intelligence in Education Market, by Deployment Type, 2022 & 2030 (USD billion)

    Artificial Intelligence in Education Market, by Deployment Type, 2022 & 2030

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Artificial Intelligence in Education Component Insights

    Based on Components, the global Artificial Intelligence in the Education industry has been segmented into Services and Software. Service held the largest segment share in 2022. Due to expanding government backing and technical improvements, there is a growing need among educational organizations for AI-enabled products and services.

    Artificial Intelligence in Education Regional Insights

    By Region, the study provides AI in education market insights into North America, Europe, Asia-Pacific and the Rest of the World. North American Artificial Intelligence in the Education market area will dominate this market. This is attributable to the Region's early embrace of cutting-edge technologies. Also, a strong educational system, particularly in the United States and Canada, is projected to fuel market expansion. The market is expanding due to the increasing use of sophisticated tutoring systems, chatbots, and other tools for higher-quality education, as well as better learning tactics that use deep learning and machine learning approaches.

    Further, the major countries studied in the AI in education market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    Figure 3: ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET SHARE BY REGION 2022 (%)

    ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET SHARE BY REGION 2022

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Due to the Region's highly established educational infrastructure, Europe Artificial Intelligence in the Education market is predicted to have considerable development in industry. Over the projected period, rising digitalization initiatives and AI investments are also anticipated to promote market expansion. Further, Germany's Artificial Intelligence in the Education market held the largest market share, and the UK Artificial Intelligence in the Education market was the fastest-growing market in the European Region.

    Due to the increasing need for digitization and government efforts like e-governance in India towards Digital India, the Asia Pacific Artificial Intelligence in the Education market is predicted to have significant development. Furthermore, to help students become the leading innovators of the AI revolution, the Indian government is supporting the use of Technology in teaching in schools and colleges. Aside from that, the worldwide artificial Intelligence in education market is anticipated to grow throughout the forecast period, 2019–2026, due to the Indian government's Digital India project, which aims to increase the rate of digital literacy in various technologies, including AI.

    Moreover, China's Artificial Intelligence in the Education market held the largest market share, and India's Artificial Intelligence in the Education market was the fastest-growing market in the Asia-Pacific region.

    Artificial Intelligence in Education Key Market Players & Competitive Insights

    Leading industry companies are investing significantly in R&D to broaden their product offerings, which will spur further expansion of Artificial Intelligence in the Education market. Important market developments include new product releases, contractual agreements, mergers and acquisitions, greater investments, and collaboration with other organizations. Market participants also engage in several strategic actions to increase their worldwide presence. Artificial Intelligence in the Education industry must offer products at reasonable prices to grow and thrive in a more cutthroat and competitive environment.

    One of the primary business strategies manufacturers employ in Artificial Intelligence in the Education industry to benefit customers and expand the market sector is local manufacturing to reduce operating costs. Some of the biggest medical benefits in recent years have come from Artificial Intelligence in the Education sector. Major players in the Artificial Intelligence in Education market, including IBM Corporation (US), Microsoft Corporation (US), Google (US), com Inc. (US), Cognizant (US), Pearson (UK), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar Inc. (US)., and others, are attempting to increase market demand by investing in research and development operations.

    With its headquarters in Armonk, New York, and operations in more than 175 nations, the International Business Machines Corporation, sometimes known as Big Blue, is an American global technology company. SXiQ, an Australian provider of digital transformation services focused on cloud platforms, cloud apps, and cloud cybersecurity, was acquired by IBM Corporation in November 2021. The acquisition is anticipated to improve IBM Consulting's capacity to update technological infrastructure and cloud-based applications in New Zealand and Australia.

    K–12 education services for math, literacy and ELA, foreign languages, and applied sciences are offered by Carnegie Learning, Inc. Pittsburgh, Pennsylvania's Union Trust Building is home to Carnegie Learning, Inc. At a price of USD 15 million, Carnegie Learning Inc., a top provider of K–12 education solutions, bought Scientific Learning Company in September 2020. This purchase aims to improve learning outcomes and boost the company's portfolio of educational technologies.

    Key Companies in the Artificial Intelligence in the Education market include

    • Google com Inc. (US)
    • IBM Corporation (US)
    • Pearson (UK)
    • Bridge-U (UK)
    • DreamBox Learning (US)
    • Cognizant (US)
    • Fishtree (US)
    • Jellynote (France)
    • Microsoft Corporation (US)
    • Jenzabar Inc. (US).

    Artificial Intelligence Education Industry Developments

    • Q2 2024: Duolingo launches AI-powered Roleplay feature to help users practice real-world conversations Duolingo introduced a new AI-driven Roleplay feature in its app, allowing language learners to practice conversations with an AI tutor, marking a significant product expansion in AI-driven education tools.
    • Q2 2024: OpenAI and Khan Academy announce partnership to integrate GPT-4 into personalized learning tools Khan Academy partnered with OpenAI to embed GPT-4 into its learning platform, enabling more adaptive and interactive tutoring experiences for students.
    • Q2 2024: Google for Education unveils new AI-powered lesson planning tools for teachers Google for Education launched a suite of AI-based tools to help teachers generate lesson plans and personalized assignments, aiming to streamline classroom preparation.
    • Q3 2024: Pearson acquires AI tutoring startup ScribeSense to bolster digital education offerings Pearson completed the acquisition of ScribeSense, an AI-powered assessment and tutoring platform, to enhance its digital education portfolio and expand its AI capabilities.
    • Q3 2024: Coursera launches AI-powered course creation assistant for educators Coursera announced the rollout of an AI assistant that helps instructors design and update online courses, leveraging generative AI to automate content creation and assessment.
    • Q3 2024: Byju’s raises $250 million to expand AI-driven learning platform Indian edtech giant Byju’s secured $250 million in new funding to accelerate the development and global rollout of its AI-powered personalized learning solutions.
    • Q4 2024: Quizlet appoints former Google AI lead as Chief Technology Officer Quizlet named a former Google AI executive as its new CTO, signaling a strategic focus on expanding its AI-driven study tools and adaptive learning technologies.
    • Q4 2024: Microsoft Education launches Copilot for Education, an AI assistant for teachers and students Microsoft Education introduced Copilot for Education, an AI-powered assistant designed to help teachers with administrative tasks and provide students with personalized learning support.
    • Q1 2025: Chegg partners with Anthropic to integrate Claude AI into student homework help Chegg announced a partnership with Anthropic to embed the Claude AI model into its platform, enhancing the quality and safety of AI-powered homework assistance.
    • Q1 2025: China’s TAL Education launches AI-driven adaptive learning platform for K-12 students TAL Education Group unveiled a new adaptive learning platform powered by proprietary AI algorithms, targeting personalized education for K-12 students in China.
    • Q2 2025: Duolingo acquires AI speech assessment startup Speak for $100 million Duolingo acquired Speak, a company specializing in AI-powered speech assessment, to strengthen its language learning app’s real-time pronunciation and feedback features.
    • Q2 2025: Udemy launches AI-powered personalized learning paths for enterprise clients Udemy introduced a new feature for enterprise customers that uses AI to create individualized learning paths for employees, aiming to improve upskilling and retention.

    Future Outlook

    Artificial Intelligence Education Market Future Outlook

    The Artificial Intelligence in Education Market is projected to grow at a 27.66% CAGR from 2024 to 2035, driven by advancements in personalized learning, automation, and data analytics.

    New opportunities lie in:

    • Develop AI-driven tutoring systems for personalized learning experiences.
    • Create adaptive learning platforms that utilize real-time data analytics.
    • Implement AI solutions for administrative efficiency in educational institutions.

    By 2035, the market is expected to be a cornerstone of educational innovation and efficiency.

    Market Segmentation

    Artificial Intelligence in Education Regional Outlook

    • US
    • Canada

    Artificial Intelligence in Education Technology Outlook

    • Machine Learning
    • Natural Learning Process

    Artificial Intelligence in Education Application Outlook

    • Content Delivery Systems

    Artificial Intelligence in Education Component Outlook

    • Service
    • Software

    Artificial Intelligence in Education Deployment Type Outlook

    • On-Cloud
    • On-Premise

    Report Scope

    Report Attribute/Metric Details
    Market Size 2023 USD 3.45 billion
    Market Size 2024 USD 34.7 billion
    Market Size 2032 USD 26.43 billion
    Compound Annual Growth Rate (CAGR) 37.68% (2024-2032)
    Base Year 2023
    Market Forecast Period 2024-2032
    Historical Data 2019- 2021
    Market Forecast Units Value (USD Billion)
    Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
    Segments Covered Application, Technology, Deployment Type, Component, and Region
    Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
    Countries Covered The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
    Key Companies Profiled  IBM Corporation (US), Microsoft Corporation (US), Google (US), com Inc. (US), Cognizant (US), Pearson (UK), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar Inc. (US).
    Key Market Opportunities Increasing desire for artificial Intelligence to improve educational institutions
    Key Market Dynamics Cost reduction Increased work efficiency Improved IT security in colleges

    Market Highlights

    Author
    Shubham Munde
    Research Analyst Level II

    With a technical background in information technology & semiconductors, Shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. He is the POC for our clients, for their consulting projects running under the ICT/Semiconductor domain. Shubham holds a Bachelor’s in Information and Technology and a Master of Business Administration (MBA). Shubham has executed over 150 research projects for our clients under the brand name Market Research Future in the last 2 years. His core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. He is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. He has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. He has worked on the projects of top tech brands such as IBM, Google, Microsoft, AWS, Meta, Oracle, Cisco Systems, Samsung, Accenture, VMware, Schneider Electric, Dell, HP, Ericsson, and so many others. He has worked on Metaverse, Web 3.0, Zero-Trust security, cyber-security, blockchain, quantum computing, robotics, 5G technology, High-Performance computing, data centers, AI, automation, IT equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.

    Leave a Comment

    FAQs

    How much is Artificial Intelligence in the Education market?

    The market for artificial intelligence in education is expected to grow from USD 3.45 billion in 2023 to USD 26.43 billion by 2032.

    What is the growth rate of Artificial Intelligence in the Education market?

    The global market is projected to grow at a CAGR of 37.68% during the forecast period, 2024-2032.

    Which Region held the largest market share in Artificial Intelligence in the Education market?

    North America had the largest share of global Artificial Intelligence in the Education market.

    Who are the key players in Artificial Intelligence in the Education market?

    The key players in the Artificial Intelligence in Education market are IBM Corporation (US), Microsoft Corporation (US), Google (US), com Inc. (US), Cognizant (US), Pearson (UK), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar Inc. (US).

    Which Deployment type led the Artificial Intelligence in Education market?

    The on-cloud Artificial Intelligence in Education category dominated the market in 2022.

    Which component had the largest Artificial Intelligence in Education market share?

    The Service had the largest Artificial Intelligence in Education Market share.

    1.     Executive Summary
    2.  Scope of the Report
      1.     Market Definition
    3.  Scope of the Study
      1.     Research Objectives
    4.  Assumptions & Limitations
      1.     Markets Structure
    5.     Market Research Methodology
      1.     Research
    6. Process
      1.     Secondary Research
      2.     Primary
    7. Research
      1.     Forecast Model
    8.     Market
    9. Landscape
      1.     Porter’s Five Forces Analysis
    10.  Threat of New Entrants
      1.     Bargaining power of buyers
        1.     Threat of substitutes
        2.     Rivalry
        3.     Bargaining Power of Suppliers
      2.     Value
    11. Chain/Supply Chain of AI in Education Market
    12.     Market Overview
    13. of AI in Education
      1.     Introduction
    14.  Growth Drivers
      1.     Impact Analysis
    15.  Market Challenges
    16.     Market Trends
    17.  Introduction
      1.     Growth Trends
    18.  Impact analysis
    19.      AI in Education by Deployment
      1.     Introduction
      2.     On-Premise
    20. Market Estimates & Forecast, 2023–2030
      1. Market Estimates &
    21. Forecast by Region, 2023–2030
      1.     On-Cloud
    22. Market Estimates & Forecast, 2023–2030
      1. Market Estimates &
    23. Forecast by Region, 2023–2030
    24.     AI in Education Market
    25. by Component
      1.     Introduction
      2.     Software
        1. Market Estimates & Forecast, 2023–2030
        2. Market Estimates
    26. & Forecast by Region, 2023–2030
      1.     Applications
        1. Market Estimates & Forecast, 2023–2030
        2. Market Estimates
    27. & Forecast by Region, 2023–2030
    28.     AI in Education
    29. Market by Technology
      1.     Introduction
    30.  Machine Learning
      1. Market Estimates & Forecast, 2023–2030
        1. Market Estimates & Forecast by Region, 2023–2030
    31.  Natural Learning Process (NLP)
      1. Market Estimates & Forecast,
        1. Market Estimates & Forecast by Region, 2023–2030
    32.     AI in Education Market by Application
    33.  Introduction
      1.     Intelligent Tutoring Systems
    34. Market Estimates & Forecast, 2023–2030
      1. Market Estimates &
    35. Forecast by Region, 2023–2030
      1.     Virtual Facilitators
        1. Market Estimates & Forecast, 2023–2030
        2. Market Estimates
    36. & Forecast by Region, 2023–2030
      1.     Content Delivery
    37. Systems
      1. Market Estimates & Forecast, 2023–2030
    38. Market Estimates & Forecast by Region, 2023–2030
    39.  Interactive Websites
      1. Market Estimates & Forecast, 2023–2030
        1. Market Estimates & Forecast by Region, 2023–2030
    40.  Chatbot’s
      1. Market Estimates & Forecast, 2023–2030
        1. Market Estimates & Forecast by Region, 2023–2030
    41.  Others
      1. Market Estimates & Forecast, 2023–2030
    42. Market Estimates & Forecast by Region, 2023–2030
    43.  AI in Education Market by Region
      1.     Introduction
      2.     North America
        1. Market Estimates & Forecast,
    44. by Country, 2023–2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Component, 2023–2030
        2. Market Estimates & Forecast by Technology, 2023–2030
    45. Market Estimates & Forecast by Application, 2023–2030
    46.  US
      1. Market Estimates & Forecast by Deployment, 2023–2030
        1. Market Estimates & Forecast by Component, 2023–2030
    47. Market Estimates & Forecast by Technology, 2023–2030
      1. Market
    48. Estimates & Forecast by Application, 2023–2030
    49.  Mexico
      1. Market Estimates & Forecast by Deployment, 2023–2030
        1. Market Estimates & Forecast by Component, 2023–2030
    50. Market Estimates & Forecast by Technology, 2023–2030
      1. Market
    51. Estimates & Forecast by Application, 2023–2030
    52.  Canada
      1. Market Estimates & Forecast by Deployment, 2023–2030
        1. Market Estimates & Forecast by Component, 2023–2030
    53. Market Estimates & Forecast by Technology, 2023–2030
      1. Market
    54. Estimates & Forecast by Application, 2023–2030
      1.     Europe
        1. Market Estimates & Forecast, by Country 2023–2030
    55. Market Estimates & Forecast by Deployment, 2023–2030
      1. Market
    56. Estimates & Forecast by Component, 2023–2030
      1. Market Estimates
    57. & Forecast by Technology, 2023–2030
      1. Market Estimates &
    58. Forecast by Application, 2023–2030
      1.     Germany
        1. Market Estimates & Forecast by Deployment, 2023–2030
    59. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    60. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    61. & Forecast by Application, 2023–2030
      1.     France
        1. Market Estimates & Forecast by Deployment, 2023–2030
    62. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    63. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    64. & Forecast by Application, 2023–2030
      1.     UK
        1. Market Estimates & Forecast by Deployment, 2023–2030
    65. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    66. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    67. & Forecast by Application, 2023–2030
      1. Rest of Europe
    68. Market Estimates & Forecast by Deployment, 2023–2030
      1. Market
    69. Estimates & Forecast by Component, 2023–2030
      1. Market Estimates
    70. & Forecast by Technology, 2023–2030
      1. Market Estimates &
    71. Forecast by Application, 2023–2030
      1.     Asia-Pacific
        1. Market Estimates & Forecast, by Country, 2023–2030
    72. Market Estimates & Forecast by Deployment, 2023–2030
      1. Market
    73. Estimates & Forecast by Component, 2023–2030
      1. Market Estimates
    74. & Forecast by Technology, 2023–2030
      1. Market Estimates &
    75. Forecast by Application, 2023–2030
      1.     China
        1. Market Estimates & Forecast by Deployment, 2023–2030
    76. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    77. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    78. & Forecast by Application, 2023–2030
      1.     India
        1. Market Estimates & Forecast by Deployment, 2023–2030
    79. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    80. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    81. & Forecast by Application, 2023–2030
      1.     Japan
        1. Market Estimates & Forecast by Deployment, 2023–2030
    82. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    83. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    84. & Forecast by Application, 2023–2030
      1.     Rest
    85. of Asia-Pacific
      1. Market Estimates & Forecast by Deployment, 2023–2030
        1. Market Estimates & Forecast by Component, 2023–2030
    86. Market Estimates & Forecast by Technology, 2023–2030
      1. Market
    87. Estimates & Forecast by Application, 2023–2030
      1.     Rest
    88. of the World 
      1. Market Estimates & Forecast, by Country, 2023–2030
        1. Market Estimates & Forecast by Deployment, 2023–2030
    89. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    90. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    91. & Forecast by Application, 2023–2030
      1. Middle East & Africa 
        1. Market Estimates & Forecast by Deployment, 2023–2030
    92. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    93. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    94. & Forecast by Application, 2023–2030
      1. Latin Countries 
        1. Market Estimates & Forecast by Deployment, 2023–2030
    95. Market Estimates & Forecast by Component, 2023–2030
      1. Market
    96. Estimates & Forecast by Technology, 2023–2030
      1. Market Estimates
    97. & Forecast by Application, 2023–2030
    98. Company Profiles
    99.  IBM Corporation
      1.     Company Overview
    100.  Product/Business Segment Overview
      1.     Financial
    101. Updates
      1.     Key Developments
      2.     Microsoft
    102. Corporation
      1.     Company Overview
    103.  Product/Business Segment Overview
      1.     Financial
    104. Updates
      1.     Key Developments
      2.     Google
        1.     Company Overview
        2.     Product/Business
    105. Segment Overview
      1.     Financial Updates
    106.  Key Developments
      1.     Amazon.com, Inc.
    107.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key Developments
      2.     Cognizant
        1.     Company Overview
        2.     Product/Business Segment Overview
    108.  Financial Updates
      1.     Key Developments
    109.  Pearson
      1.     Company Overview
    110.  Product/Business Segment Overview
      1.     Financial
    111. Updates
      1.     Key Developments
      2.     Bridge-U
        1.     Company Overview
        2.     Product/Business
    112. Segment Overview
      1.     Financial Updates
    113.  Key Developments
      1.     DreamBox Learning
    114.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key Developments
      2.     Fishtree
        1.     Company Overview
        2.     Product/Business Segment Overview
    115.  Financial Updates
      1.     Key Developments
    116.  Jellynote
      1.     Company Overview
    117.  Product/Business Segment Overview
      1.     Financial
    118. Updates
      1.     Key Developments
      2.     Jenzabar,
    119. Inc.
      1.     Company Overview
        1.     Product/Business
    120. Segment Overview
      1.     Financial Updates
    121.  Key Developments
      1.     Knewton, Inc.
    122.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    123. Developments
      1.     Metacog, Inc.
    124.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    125. Developments
      1.     Querium Corporation
    126.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    127. Developments
      1.     Century-Tech Ltd
    128.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    129. Developments
      1.     Blackboard Inc.
    130.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    131. Developments
      1.     Third Space Learning
    132.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    133. Developments
      1.     Quantum Adaptive Learning, LLC
    134.  Company Overview
      1.     Product/Business Segment Overview
        1.     Financial Updates
        2.     Key
    135. Developments
    136.     Conclusion
    137. AI in Education Market, by Country, 2023–2030
    138.  North America: AI in Education Market, by Country, 2023–2030
    139.         Europe: AI in Education Market: by Country,
    140. AI in Education Market, by Country, 2023–2030
    141.  North America: AI in Education Market, by Country
    142.      North America: AI in Education Market, by Deployment
    143. by Component
    144. in Education Market, by Technology
    145. America: AI in Education Market, by Application
    146.  Europe: AI in Education Market, by Country
    147.  Europe: AI in Education Market, by Deployment
    148.  Europe: AI in Education Market, by Component
    149.  Europe: AI in Education Market, by Technology
    150.  Europe: AI in Education Market, by Application
    151.  Asia-Pacific: AI in Education Market, by Country  
    152.      Asia-Pacific: AI in Education Market, by Deployment
    153. by Component
    154. in Education Market, by Technology
    155.  Asia-Pacific: AI in Education Market, by Application
    156.      Middle East & Africa: AI in Education Market, by Deployment
    157. Education Market, by Component
    158. East & Africa: AI in Education Market, by Technology
    159.      Middle East & Africa: AI in Education Market, by Application
    160. by Deployment
    161. AI in Education Market, by Component  
    162.  Latin America: AI in Education Market, by Technology
    163.      Latin America: AI in Education Market, by Application
    164. of AI in Education Market
    165. Global AI in Education Market, 2023–2030
    166. Market size by Deployment, 2023–2030
    167. Market by Deployment, (in %)
    168. Component, 2023–2030
    169. (in %)
    170. Global AI in Education Market size by Application, 2023–2030
    171. Share of Global AI in Education Market by Application, (in %)

    Artificial Intelligence in Education Market Segmentation

    Artificial Intelligence in Education Application Outlook (USD Billion, 2019-2030)

    • Content Delivery Systems

    Artificial Intelligence in Education Technology Outlook (USD Billion, 2019-2030)

    • Machine Learning
    • Natural Learning Process

    Artificial Intelligence in Education Deployment Type Outlook (USD Billion, 2019-2030)

    • On-Cloud
    • On-Premise

    Artificial Intelligence in Education Component Outlook (USD Billion, 2019-2030)

    • Service
    • Software

    Artificial Intelligence in Education Regional Outlook (USD Billion, 2019-2030)

    • North America Outlook (USD Billion, 2019-2030)

      • North America Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • North America Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • North America Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • North America Artificial Intelligence in Education by Component
        • Service
        • Software
      • US Outlook (USD Billion, 2019-2030)

      • US Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • US Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • US Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • US Artificial Intelligence in Education by Component
        • Service
        • Software
      • CANADA Outlook (USD Billion, 2019-2030)

      • CANADA Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • CANADA Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • CANADA Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • CANADA Artificial Intelligence in Education by Component
        • Service
        • Software
    • Europe Outlook (USD Billion, 2019-2030)

      • Europe Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Europe Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Europe Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Europe Artificial Intelligence in Education by Component
        • Service
        • Software
      • Germany Outlook (USD Billion, 2019-2030)

      • Germany Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Germany Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Germany Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Germany Artificial Intelligence in Education by Component
        • Service
        • Software
      • France Outlook (USD Billion, 2019-2030)

      • France Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • France Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • France Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • France Artificial Intelligence in Education by Component
        • Service
        • Software
      • UK Outlook (USD Billion, 2019-2030)

      • UK Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • UK Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • UK Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • UK Artificial Intelligence in Education by Component
        • Service
        • Software
      • ITALY Outlook (USD Billion, 2019-2030)

      • ITALY Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • ITALY Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • ITALY Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • ITALY Artificial Intelligence in Education by Component
        • Service
        • Software
      • SPAIN Outlook (USD Billion, 2019-2030)

      • Spain Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Spain Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Spain Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Spain Artificial Intelligence in Education by Component
        • Service
        • Software
      • Rest Of Europe Outlook (USD Billion, 2019-2030)

      • Rest Of Europe Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • REST OF EUROPE Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • REST OF EUROPE Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • REST OF EUROPE Artificial Intelligence in Education by Component
        • Service
        • Software
    • Asia-Pacific Outlook (USD Billion, 2019-2030)

      • Asia-Pacific Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Asia-Pacific Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Asia-Pacific Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Asia-Pacific Artificial Intelligence in Education by Component
        • Service
        • Software
      • China Outlook (USD Billion, 2019-2030)

      • China Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • China Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • China Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • China Artificial Intelligence in Education by Component
        • Service
        • Software
      • Japan Outlook (USD Billion, 2019-2030)

      • Japan Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Japan Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Japan Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Japan Artificial Intelligence in Education by Component
        • Service
        • Software
      • India Outlook (USD Billion, 2019-2030)

      • India Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • India Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • India Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • India Artificial Intelligence in Education by Component
        • Service
        • Software
      • Australia Outlook (USD Billion, 2019-2030)

      • Australia Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Australia Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Australia Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Australia Artificial Intelligence in Education by Component
        • Service
        • Software
      • Rest of Asia-Pacific Outlook (USD Billion, 2019-2030)

      • Rest of Asia-Pacific Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Rest of Asia-Pacific Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Rest of Asia-Pacific Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Rest of Asia-Pacific Artificial Intelligence in Education by Component
        • Service
        • Software
    • Rest of the World Outlook (USD Billion, 2019-2030)

      • Rest of the World Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Rest of the World Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Rest of the World Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Rest of the World Artificial Intelligence in Education by Component
        • Service
        • Software
      • Middle East Outlook (USD Billion, 2019-2030)

      • Middle East Artificial Intelligence in Education by Application
        • Content Delivery Systems
      • Middle East Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Middle East Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Middle East Artificial Intelligence in Education by Component
        • Service
        • Software
      • Africa Outlook (USD Billion, 2019-2030)

      • Africa Artificial Intelligence in Education by Component
        • Content Delivery Systems
      • Africa Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Africa Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Africa Artificial Intelligence in Education by Component
        • Service
        • Software
      • Latin America Outlook (USD Billion, 2019-2030)

      • Latin America Artificial Intelligence in Education by Component
        • Content Delivery Systems
      • Latin America Artificial Intelligence in Education by Technology

        • Machine Learning
        • Natural Learning Process
      • Latin America Artificial Intelligence in Education by Deployment Type
        • On-Cloud
        • On-Premise
      • Latin America Artificial Intelligence in Education by Component
        • Service
        • Software
    Artificial Intelligence in Education Market Research Report - Forecast to 2032 Infographic
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