Authored By: Sarah
15 Jul 2024

 Artificial Intelligence (Ai) In The Education Sector Market Size to grow by USD 2321.8 million between 2024-2028

According to a research report “ Artificial Intelligence (Ai) In The Education Sector Market” by End-user (Higher education, K-12) Learning Method (Learner model, Pedagogical model, Domain model) Geography (North America, Europe, APAC, South America, Middle East and Africa)- Global Forecast to 2028 published by Technavio, the market size is estimated to grow by USD 2321.8 million, at a CAGR of about 52.65% during the forecast period. In the education sector, the adoption of Artificial Intelligence (AI) is experiencing significant growth due to the increasing demand for personalized learning experiences. Each student possesses unique learning abilities and paces, necessitating customized educational paths. Machine Learning (ML) technologies are increasingly utilized by educators to gather student data, enabling them to derive valuable insights into academic performance. These insights facilitate informed decisions and the creation of tailored learning paths. ML algorithms assess students' academic challenges by analyzing data, subsequently providing customized materials, exercises, and lessons to enhance their success. Furthermore, advanced AI applications in content delivery leverage deep learning and Natural Language Generation (NLG) to generate and deliver personalized content, thereby enhancing the overall learning experience.

Browse market data tables, figures, and in-depth TOC on “Artificial Intelligence (Ai) In The Education Sector Market” by End-user (Higher education, K-12) Learning Method (Learner model, Pedagogical model, Domain model) Geography (North America, Europe, APAC, South America, Middle East and Africa) Global Forecast to 2028. Download Free Sample


By End-user, the Higher education segment is projected to dominate the market size in 2024

In the education sector, Artificial Intelligence (AI) is revolutionizing the learning experience by enabling personalized instruction through Machine Learning (ML) technologies. ML algorithms collect and analyze student data to identify academic challenges, allowing educators to tailor learning paths to individual students' needs. Advanced AI applications, such as deep learning and Natural Language Generation (NLG), further enhance content delivery by synthesizing and delivering customized educational materials, ensuring students receive optimally targeted instruction and resources for their unique learning styles and paces. This data-driven, customized approach to education is a significant market growth driver, as it leads to improved student outcomes and increased educational efficiency.

By Learning Method, Learner model  segment is expected to hold the largest market size for the year 2024

The global education sector market for Artificial Intelligence (AI) is projected to experience consistent expansion during the forecast period. Institutions of higher learning are increasingly embracing AI technologies to enhance the quality of education and create immersive learning experiences for students. Universities are implementing personalized learning strategies by delivering content through AI solutions, enabling students to learn at their own pace and style. Additionally, AI is being utilized to automate administrative tasks, such as grading and student record keeping, at a lower cost and with reduced error rates. IBM's Watson is one such AI solution being adopted by universities to streamline administrative processes. Overall, AI is revolutionizing the education sector by providing innovative solutions that cater to the unique needs of students and institutions.

North America is forecasted to hold the largest market size by region in 2024

Artificial Intelligence (AI) is revolutionizing the education sector by enhancing teaching and learning experiences. This technology is being integrated into various aspects of education, from personalized learning to automated grading systems. AI-powered tools enable institutions to provide customized instruction, streamline administrative tasks, and improve student engagement. The market for AI in education is projected to grow significantly, offering numerous opportunities for businesses to innovate and provide solutions that cater to the evolving needs of students and educators.

The Artificial Intelligence (Ai) In The Education Sector Market growth and forecasting report also includes detailed analyses of the competitive landscape of the market growth and forecasting and information about 20 market companies, including:

  • 2U Inc.
  • Alphabet Inc.
  • Inc.
  • Brainly
  • Carnegie Learning Inc.
  • Century Tech Ltd.
  • Cognii Inc.
  • Cognizant Technology Solutions Corp.
  • DreamBox Learning Inc.
  • Fishtree Inc.
  • International Business Machines Corp.
  • Jenzabar Inc.
  • John Wiley and Sons Inc.
  • Kaltura Inc.
  • LAIX Inc.
  • McGraw Hill LLC
  • Microsoft Corp.
  • n2y LLC
  • Pearson Plc
  • Quantum Adaptive Learning LLC

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Research Analysis Overview

Artificial Intelligence (AI) is revolutionizing the education sector with its ability to process vast amounts of data and provide personalized learning experiences. Machine learning algorithms and deep learning techniques, powered by supercomputers and quantum computers, are at the forefront of this transformation. Computer science students are leveraging these AI algorithms to develop intelligent systems that adapt to individual learning styles and needs. However, challenges persist, such as ensuring data quality and availability, addressing inaccurate output, and mitigating bias. Security providers, network providers, cloud providers, and service providers are essential partners in addressing these challenges, ensuring data privacy and security. Natural language processing, machine learning techniques, and generative AI tools are transforming the way we teach and learn. Autonomous AI systems are being integrated into classrooms, enabling personalized instruction and assessment. Business models are evolving to support these new technologies, with a focus on subscription-based services and partnerships between educational institutions and AI software providers. AI art generators, such as ChatGPT, are pushing the boundaries of creativity and innovation, while robotics and big data analytics are transforming research and development in education. The technology roadmap for AI in education is exciting, with endless possibilities for enhancing the learning experience and preparing students for the future workforce.

Market Research Overview

Artificial Intelligence (AI) technology is revolutionizing various industries, including Education, Media & Entertainment, BFSI, Retail & E-commerce, IT & Telecommunication, and more. Anthropic AI, Amazon, Netflix, and others are leading this transformation with AI-driven automation, virtual assistants, and chatbots. AI components such as deep learning, generative AI, computer vision, and machine learning techniques are being used in large enterprises for operation, legal & compliance, cybersecurity, finance & accounting, human resource management, and supply chain management. Deployment modes include cloud and on-premises, with technology providers like Cloud and Network providers offering services. AI is also being used in industry verticals like Education, where AI-driven automation is transforming student services, and in business functions like sales & marketing for personalized customer experiences. However, challenges such as privacy issues, regulatory concerns, and ethical concerns persist. Machine learning algorithms and deep learning techniques require high computational power, making quantum computers and supercomputers essential. AI market growth is driven by advancements in AI algorithms, computer science, and business models. Generative AI tools like AI art generators and AI-driven automation are transforming industries, with ChatGPT and robotics leading the way. Edge computing and Edge AI are also gaining popularity for customer service and real-time data processing. Despite the benefits, AI also poses challenges such as inaccurate output, bias, data quality, and data availability. Ensuring data security and privacy is crucial, with security providers playing a vital role. AI components like hardware, software, and services require careful consideration for deployment, with natural language processing and algorithms being key areas of focus. The technology roadmap for AI is vast and exciting, with continual advancements in AI algorithms and techniques driving innovation.


Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200

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