Artificial Intelligence in Education Market is anticipated to grow USD 23.82 Billion at a CAGR of 38% by 2030 – Report by Market Research Future (MRFR)

Overview:

The global AI in Education Market is expected to grow from USD 2.5 billion in 2022 to USD 23.82 billion by 2030, at a CAGR of 38.00% during the forecast period 2023 – 2030. The growth of the market is being driven by a number of factors, including the increasing demand for personalized learning, the growing adoption of online education, and the rising need for improved assessment methods.

In addition, AI can be used to improve academic outcomes by providing students with real-time feedback, identifying areas where they need additional support, and helping them to master difficult concepts. AI can also be used to create more engaging learning experiences for students, by using gamification and other interactive techniques.

Key Players:

The key players in the AI in education market include

• IBM Corporation
• Microsoft Corporation
• Google
• Cognizant
• Pearson
• Bridge-U
• DreamBox Learning
• Fishtree
• Jellynote
• Jenzabar

These players are focusing on developing innovative AI-powered solutions to meet the growing demand for personalized learning, improved academic outcomes, and engaging learning experiences.

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Scope of the Report – Artificial Intelligence in Education Market:

Report Metrics	Details
Market Size by 2030	USD 23.82 Billion
CAGR during 2023-2030	38%
Base Year	2022
Forecast	2023-2030

 

Segmentation:

The AI in education market is segmented by application, technology, deployment type, component, and region.

By application, the market is segmented into content delivery systems, assessment and evaluation, learning management systems, and others. The content delivery systems segment is expected to grow at the highest CAGR during the forecast period. This is due to the increasing use of AI-powered chatbots and virtual assistants to deliver educational content to students.

By technology, the market is segmented into machine learning, natural language processing, and others. The machine learning segment is expected to dominate the market during the forecast period. This is due to the increasing use of machine learning algorithms to personalize learning, track student progress, and provide real-time feedback.

By deployment type, the market is segmented into on-cloud and on-premise. The on-cloud segment is expected to grow at the highest CAGR during the forecast period. This is due to the increasing adoption of cloud-based learning solutions by educational institutions.

By component, the market is segmented into software and services. The software segment is expected to dominate the market during the forecast period. This is due to the increasing demand for AI-powered learning solutions that can be used by educational institutions.

By region, the market is segmented into North America, Europe, Asia Pacific, and the Rest of the World. North America is expected to dominate the market during the forecast period. This is due to the early adoption of AI technologies in the region.

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Benefits of AI in Education:

There are a number of benefits to using AI in education. Some of the most common benefits include:

• Improved learning outcomes: AI can help to improve student learning outcomes by providing personalized learning, adaptive assessments, and virtual tutors.
• Increased engagement: AI can help to increase student engagement by gamifying the learning process and making it more interactive.
• Reduced costs: AI can help to reduce costs by automating tasks that are currently performed by teachers.
• Improved decision-making: AI can help to improve decision-making by providing insights into student learning data.

Challenges of AI in Education:

There are also some challenges associated with using AI in education. Some of the most common challenges include:

• Data privacy: There are concerns about the privacy of student data that is collected by AI systems.
• Bias: There is a risk that AI systems could be biased, which could lead to unfair treatment of students.
• Cost: AI systems can be expensive to develop and implement.
• Acceptance: There is some resistance to the use of AI in education, as some people believe that it could replace teachers.

Browse In-depth Market Research Report (100 Pages, Charts, Tables, Figures) Artificial Intelligence in Education Market–https://www.marketresearchfuture.com/reports/artificial-intelligence-education-market-6365

Key Drivers of the Market

• Increasing demand for personalized learning: AI-powered technologies can be used to personalize learning by providing each student with the content and instruction that they need to succeed. This is in contrast to traditional teaching methods, which often involve a one-size-fits-all approach.
• Need to improve student engagement: AI-powered technologies can be used to improve student engagement by making learning more interactive and engaging. For example, AI-powered chatbots can answer students’ questions in real time, and AI-powered games can help students learn new concepts in a fun and engaging way.
• Rising adoption of online education: The COVID-19 pandemic has accelerated the adoption of online education. AI-powered technologies can be used to enhance the online learning experience by providing students with personalized instruction, real-time feedback, and access to a wider range of resources.

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Regional Analysis

North America is the leading market for AI in education, followed by Europe and Asia-Pacific. The high adoption of AI technologies in the education sector in these regions is driving the growth of the market.

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