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Artificial Intelligence (AI) in Education Market to grow by USD 2.32 Billion (2024-2028), driven by demand for AI-based customized learning, report highlights AI trends – Technavio

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NEW YORK, Dec. 9, 2024 /PRNewswire/ — Report on how AI is driving market transformation – The global artificial intelligence (AI) market in education sector  size is estimated to grow by USD 2.32 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of about 52.65%  during the forecast period. Growing emphasis on customized learning paths using AI is driving market growth, with a trend towards increased emphasis on chatbots. However, high cost associated with AI poses a challenge. Key market players include 2U Inc., Alphabet Inc., Amazon.com 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, and Quantum Adaptive Learning LLC., Google LLC., BridgeU., Anthology Inc.

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Higher education and K-12), Learning Method (Learner model, Pedagogical model, and Domain model), Geography (North America, Europe, APAC, South America, and Middle East and Africa), Component, deployment, technology and application.

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

2U Inc., Alphabet Inc., Amazon.com 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, Google LLC; BridgeU; Anthology Inc

Key Market Trends Fueling Growth

Artificial Intelligence (AI) is revolutionizing the education sector with EdTech companies leading the way. AI in education refers to the use of intelligent systems, algorithms, and machine learning to enhance teaching experiences and personalize learning. This includes adaptive learning platforms, intelligent tutoring systems, and virtual facilitators. AI is being used in both K-12 education and higher education, as well as corporate training, to address skills gaps and provide personalized feedback. AI startups are developing innovative educational tools, such as computer vision for remote learning and educational experiences. Cloud-based solutions and on-premises infrastructure are being used to deliver tailored content and provide individualized instruction. AI technologies are also being used to analyze data and provide personalized recommendations, improving student engagement and educational outcomes. AI is transforming administrative tasks, such as academic mapping and assessment processes, with real-time communication and AI-enabled solutions. AI platforms are being used to manage data and provide virtual support, enabling educational institutions to offer more effective and efficient learning experiences. With the rise of remote learning and virtual classrooms, AI is playing an increasingly important role in digital education. 

Artificial Intelligence (AI) chatbots are becoming essential tools in the education sector. These chatbots utilize AI, Machine Learning (ML), and deep learning technologies to interact with students, answer queries, and perform various tasks. They can maintain student data, assess and correct assessments, and facilitate learning through spaced repetition. By using ML and deep learning algorithms, chatbots can identify when students may have forgotten previously learned concepts and repeat lessons accordingly. The increasing use of chatbots in education is opening up new business opportunities for vendors. 

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Market Challenges

Artificial Intelligence (AI) is revolutionizing the education sector through EdTech, Edutainment, and online learning. AI startups are developing intelligent systems using machine learning (ML) and computer vision to enhance teaching experiences. These systems provide personalized recommendations based on student performance and learning gaps, adapting to each student’s needs. AI-enabled solutions streamline administrative tasks, enabling educational institutions to focus on delivering quality education. Challenges include skills gap in AI technologies, technology infrastructure, and digital devices. Adaptive learning platforms and intelligent tutoring systems offer tailored content and individualized instruction, improving student engagement and educational outcomes. Deep learning and natural language processing enable content delivery systems to understand and respond to learners in real-time. Cloud-based solutions offer flexible, cost-effective alternatives to on-premises systems, while AI-powered assessment processes provide personalized feedback and real-time communication. AI technologies are transforming K-12 schools, universities, and corporate training, offering educational experiences and peer-to-peer learning opportunities. AI platforms enable academic mapping, domain modeling, and pedagogical modeling, streamlining assessment and administrative workload. Innovative educational tools, such as virtual facilitators and interactive learning tools, offer personalized learning experiences, improving student performance and engagement. AI-enabled solutions offer a range of benefits, from enhancing teaching experiences to streamlining administrative tasks, and are becoming essential for educational institutions looking to remain competitive in the digital age.The integration of Artificial Intelligence (AI) in the education sector is a significant trend, offering numerous benefits such as personalized learning and improved student outcomes. However, the high cost of developing and procuring AI solutions remains a major challenge. Schools and institutions need to consider not only the initial investment for AI software installation but also the ongoing expenses for maintenance and updates. The implementation of AI in education requires substantial funding and investments, making it a significant financial commitment. Despite the advantages, the high cost is a barrier to entry for many public schools and colleges, limiting the adoption of AI technology.

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Segment Overview 

This artificial intelligence (ai) market in education sector report extensively covers market segmentation by

End-user 1.1 Higher education1.2 K-12Learning Method2.1 Learner model2.2 Pedagogical model2.3 Domain modelGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and AfricaComponentDeploymentTechnologyApplication

1.1 Higher education-  The global AI market in education is experiencing consistent growth, driven by universities and colleges seeking to enhance the educational experience for students. AI solutions are being adopted to deliver personalized learning and automate administrative tasks. Institutions are leveraging AI tools like IBM Watson for cost-effective and error-reducing administrative processes. Additionally, AI is being integrated into the grading process through platforms like Gradescope, streamlining the evaluation of assignments and providing comprehensive student performance analysis. Federal funding for AI research, collaborations, and the rising popularity of AI as virtual assistants and ITS in education are key growth factors. For instance, Carnegie Mellon University’s Open Learning Initiative uses AI-based cognitive tutors, while Gradescope employs AI algorithms for efficient grading. These advancements are transforming the education sector, making learning more effective and efficient.

Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2024-2028) and historic data (2018 – 2022) 

Research Analysis

Artificial Intelligence (AI) is revolutionizing the education sector by enhancing the learning experience and automating administrative tasks. EdTech companies are integrating AI technologies such as machine learning (ML) and deep learning into their platforms to provide personalized recommendations based on learner and pedagogical models. Adaptive learning platforms use intelligent systems and algorithms to analyze data and deliver knowledge in real-time, adapting to each learner’s pace and style. AI-powered instructional activities offer interactive and engaging “Edutainment” experiences, while intelligent tutoring systems provide one-on-one teaching experiences. AI technologies are also being used to develop cloud-based and on-premises training software, enabling accessible and flexible online education for skilled professionals. The use of AI in education is transforming traditional educational models by delivering more effective and efficient training formats.

Market Research Overview

Artificial Intelligence (AI) is revolutionizing the education sector, transforming traditional teaching methods into personalized, interactive, and learning experiences. EdTech, Edutainment, online education, and corporate training are embracing AI to bridge the skills gap and provide skilled professionals with tailored content and individualized instruction. AI technologies such as machine learning (ML), computer vision, and deep learning are powering adaptive learning platforms and intelligent tutoring systems, enabling personalized feedback and real-time communication. These intelligent systems use algorithms and data analysis to provide personalized recommendations, instructional activities, and administrative task automation. AI-enabled solutions are enhancing teaching experiences, improving educational outcomes, and creating innovative educational tools for K-12 schools, universities, and educational institutions. Digital devices and cloud-based solutions are facilitating remote learning and virtual classrooms, while AI platforms are optimizing content delivery and learning pathways. The integration of AI in education is streamlining administrative workloads, offering peer-to-peer learning opportunities, and creating educational experiences. AI-driven training software and managed services are enabling professional services and academic mapping, ensuring that learners receive the best possible learning experiences.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userHigher EducationK-12Learning MethodLearner ModelPedagogical ModelDomain ModelGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And AfricaComponentDeploymentTechnologyApplication

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Jtibot Showcases Autonomous Outdoor Sweeping Innovation at Interclean Amsterdam 2026, Accelerating European Market Expansion

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AMSTERDAM, April 24, 2026 /PRNewswire/ — Jtibot, a developer of autonomous outdoor cleaning solutions, concluded a successful showcase at Interclean Amsterdam 2026, highlighting its focus on large-scale, AI-driven sweeping for industrial, municipal, and campus environments.

At Hall 8, Booth 538, Jtibot presented its autonomous outdoor sweeper designed for environments exceeding 10,000 sqm. Positioned between traditional equipment and emerging robotics, the system addresses the growing demand for more efficient and less labor-dependent outdoor cleaning operations.

During the exhibition, Jtibot attracted strong interest from European distributors and facility management professionals seeking scalable solutions for large-area maintenance. The company was also featured in an official media interview at the event, reflecting increasing attention toward autonomous technologies in the cleaning industry.

Jtibot’s approach centers on human-machine collaboration. By reducing repetitive manual work while maintaining operational flexibility, its systems support more sustainable and efficient facility management practices. This aligns with broader ESG (Environmental, Social, and Governance) priorities, including improved resource efficiency and enhanced working conditions.

Building on its presence at Interclean, Jtibot is currently advancing discussions with multiple European partners for regional distribution and deployment. The company is also in the final stage of a fleet procurement agreement valued at approximately $1.4 million, signaling early commercial traction in large-scale applications scenarios.

“As outdoor environments continue to grow in scale and complexity, automation is becoming essential,” said Steven, VP at Jtibot. “Our goal is not to replace people, but to empower them—making operations more efficient and labor more sustainable.”

Following Interclean Amsterdam 2026, Jtibot is actively expanding its European partner network and preparing for broader market deployment across key regions, as it accelerates its global commercialization strategy.

About Jtibot
Jtibot specializes in autonomous outdoor sweepers designed for large-scale environments. By combining AI-driven navigation with industrial-grade hardware, the company enables efficient, scalable, and sustainable cleaning operations worldwide.

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2U Refinances and Raises Growth Capital

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ARLINGTON, Va., April 24, 2026 /PRNewswire/ — Many education technology companies spent 2024 and 2025 scaling back. New university partnerships slowed as institutions built internal capacity. Against that backdrop, 2U completed a growth recapitalization, with its existing owners putting growth capital into the business alongside a refinancing of its current credit facilities.

The question worth asking is: why now, and what did they see?

2U operates edX, a global online learning platform originally co-founded by Harvard and MIT that now reaches more than 100 million people through over 5,300 programs with 250-plus institutional and enterprise partners. Employees from more than 60% of Fortune 500 companies use edX for professional development. To date, over 76,000 people have graduated from 2U-powered degree programs from leading institutions, including UC Berkeley, Howard University, and Georgetown. The company has been privately held since completing a financial reorganization in 2024, and Kees Bol has served as CEO since January 2025.

Lincoln International, which advised 2U on the transaction exclusively, described the refinancing outcome: extended credit maturities, improved capital structure, and financial flexibility to continue executing on 2U’s long-range plan. Managing Director Alex Stevenson said the deal “reflects the confidence of 2U’s owners in the long-term value of the business.”

Confidence in what, exactly? The AI workforce training market. Skills in AI-affected roles are evolving 66% faster than average according to PwC research, and IDC has estimated that unfilled AI skills gaps could cost the global economy $5.5 trillion. Universities and enterprises are both trying to solve that problem, and both are looking for platforms with the breadth and accreditation backing to do it credibly.

2U’s partnerships are designed for exactly that. IBM’s six technical microcredentials on edX train the engineers and data scientists who build AI systems. Microsoft’s CxO Edge program, launched in late 2025, targets the C-suite executives who need to move from AI pilots to enterprise-wide adoption, part of a Microsoft presence on edX that has drawn over 40,000 learners in the past six months alone.. Oxford’s Faculty of Law program addresses governance: what board members and legal advisors need to understand about AI liability, compliance, and fiduciary responsibility. UC Berkeley’s Master of Information and Data Science (MIDS) online program prepares learners to shape the future of AI and data science with human-centered values and focuses on solving the world’s most pressing data challenges. Each program exists because a specific employer community identified a specific gap.

That’s the differentiation investors are backing. Generic online courses are abundant. Programs designed in partnership with IBM, Microsoft, UC Berkeley, and Oxford’s Faculty of Law and delivered on a platform with proven Fortune 500 adoption are not.

Credentials earned on 2U’s edX platform carry the academic standing of the issuing partner institutions. Its programs span executive education, professional certificates, microcredentials, and accredited online degree programs, all powered by 2U’s infrastructure but conferred by partner universities and institutions with their own accreditation.

HolonIQ data puts the broader trend in context: microcredentials grew from 7% of global online program offerings in 2022 to 19% by 2025. The shift toward stackable, job-aligned credentials, in addition to traditional degrees,  is real and accelerating. The global online education market is projected to exceed $200 billion as that trend matures. 2U’s decision to build depth in short-form, employer-designed AI training aligns directly with where learner demand is heading.

None of this is abstract for the organizations that use edX at scale. When a company needs to certify 500 engineers on AI development, or prepare its entire C-suite for a board presentation on AI governance, the platform’s reach and credential quality both matter. A certification backed by IBM and a degree from institutions such as Berkeley carries weight with hiring managers in a way a generic online course does not.

The refinancing extends 2U’s ability to keep building that catalog and the partnerships behind it. Stevenson framed it as giving the management team “the financial foundation to keep executing on its mission.” The mission, under Bol’s leadership, is straightforward: help universities and enterprises close the AI skills gap by meeting learners where they are, at the pace the market demands.

The investors who contributed growth capital made a bet that a platform that reaches 100 million people and has 250-plus partners, including IBM, Microsoft, UC Berkeley, and Oxford in its program portfolio, is better positioned to close that gap than any platform that would need to build from scratch.

Media Contact:
Kees Bol
social@2u.com 

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Autonomous Resource Corporation and Oak Ridge National Laboratory Partner to Accelerate AI-Enabled Defense Manufacturing at National Scale

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Strategic partnership combines ORNL’s supercomputing and advanced manufacturing expertise with ARC’s autonomous production platform to address critical defense industrial base shortfalls

OAK RIDGE, Tenn. and NEW YORK, April 24, 2026 /PRNewswire/ — Autonomous Resource Corporation (ARC), a Delaware corporation, and Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, today announced a Memorandum of Understanding (MOU) establishing a strategic public-private partnership to accelerate the on-demand manufacture of qualified, mission-critical components for U.S. national security applications.

The partnership combines ORNL’s HPC and manufacturing capability with ARC’s ARCNet distributed AI-manufacturing platform

The partnership — known as the Exascale Foundry — will combine ORNL’s computing and manufacturing capabilities with ARC’s ARCNet distributed manufacturing platform to create a closed-loop system for AI-enabled materials and manufacturing qualification and autonomous production at defense-relevant scale.

“The United States faces an urgent need to rebuild its manufacturing capacity for critical defense components,” said Bryan Wisk, CEO of ARC. “By combining ORNL’s world-leading computational, materials science, and manufacturing capabilities with our autonomous production infrastructure, we can compress manufacturing and qualification timelines from years to months and deliver manufactured parts at the volumes the warfighter needs.”

Partnership Highlights

Under the MOU, ARC will deploy advanced manufacturing equipment organized into seven production nodes connected to ORNL via ARC’s secure ARCNet infrastructure. ARC will expand capability through ORNL’s high-performance computing (HPC) resources.

ORNL will provide access to HPC expertise for simulation-driven materials characterization and qualification, along with technologies developed at the Manufacturing Demonstration Facility (MDF), the Department of Energy’s only large-scale, open-access advanced manufacturing facility. ORNL’s Peregrine AI software, which has analyzed over 1.9 million additive manufacturing layers, will be integrated into ARC’s production nodes for real-time adaptive control and quality assurance.

This partnership also supports DOE’s Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security and drive energy innovation. ARC and ORNL’s collective capabilities will help reenvision advanced manufacturing and industrial productivity, accelerate defense production and qualification, and secure critical supply chain elements.

“ORNL’s advanced manufacturing and computing capabilities are uniquely positioned to help accelerate the transition of laboratory-proven technologies into production-scale defense manufacturing,” said Moe Khaleel, ORNL associate laboratory director for National Security Sciences. “Partnering with ARC ensures we are transitioning our research into real production outcomes.”

The initial implementation will focus on high-temperature nickel superalloy turbine components for autonomous air vehicle engines using metal binder jetting technology, directly addressing demonstrated production bottlenecks in the U.S. defense supply chain.

ORNL Chief Manufacturing Officer Craig Blue added, “This partnership exemplifies the type of relationship necessary to build and grow domestic supply chains for our national security.”

About Autonomous Resource Corporation

ARC is a New York–headquartered corporation building and operating an AI-enabled, autonomous manufacturing platform for national security and critical infrastructure applications. ARC’s Autonomous Resource Controller Network (ARCNet) connects distributed production cells into a secure, federated manufacturing grid capable of producing qualified components at scale. ARC’s leadership team brings deep experience across defense technology, capital markets, materials science, and additive manufacturing at production scale.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. DOE’s Manufacturing Demonstration Facility at ORNL partners with more than 300 companies, spurring over $5.5 billion in economic growth. ORNL is managed by UT-Battelle, LLC for the U.S. Department of Energy’s Office of Science.

Media Contacts:

ARC: Bryan Wisk, Chief Executive Officer | bryan@autonomousresource.com | 929-523-3953

ORNL: Eric Swanson, National Security Sciences Communications Lead | swansonej@ornl.gov | 865-206-5794

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SOURCE Autonomous Resource Corporation

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