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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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Manufacturing Category at 139th Canton Fair Presents Smarter, Lighter and More Connected Solutions

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GUANGZHOU, China, April 24, 2026 /PRNewswire/ — At the 139th Canton Fair, Manufacturing category presented a clear view of how industrial equipment is evolving to address efficiency, labor shortages, and sustainability goals. Across power equipment, machinery, automation systems, and industrial robots, exhibitors pointed to a common direction: smarter operation, stronger engineering performance, and deeper integration with digital manufacturing systems.

Industrial equipment is advancing towards intelligence with products emphasizing built-in sensing and automatic adjustment to enhance reliability and efficiency. Silent inverter generators, for example, can detect operating conditions and ambient temperature to regulate cooling for better fuel use and stability. Pumps and cleaning equipment with variable-frequency drives and integrated protection systems follow the same approach, prioritizing smooth operation, longer service life, and consistent output.

Lightweight, high-performance design has also become a priority across categories. Advances in materials and structural engineering are enabling major weight reductions without compromising power or durability. Aluminum-extrusion housings in three-phase asynchronous motors cut weight by up to 40% while improving heat dissipation and installation efficiency. Lightweight permanent-magnet submersible pumps delivered stronger flow stability despite smaller size and reduced weight.

AI-based visual inspection and quality control are also becoming essential. AI-powered optical inspection stations demonstrated full-process, high-speed inspection without relying on manual sampling. By turning experience-based judgment into standardized, repeatable rules, these systems help manufacturers improve scalability and consistency.

Industrial robots are taking on more active roles as well. Security patrol robot dogs and inspection robots are moving beyond monitoring to direct intervention, such as carrying fire-suppression modules for emergency response. This shift marks a broader move from passive observation to active execution in high-risk or labor-intensive environments.

Finally, more industrial devices are being designed as system nodes rather than standalone machines. Intelligent industrial gateways that combine data collection, protocol conversion, edge computing, and secure transmission show how equipment value increasingly depends on its ability to connect with enterprise-level digital systems.

The 139th Canton Fair vividly showcased the accelerated shift of industrial equipment toward intelligent and system-level development.

For pre-registration, please click: https://buyer.cantonfair.org.cn/register/buyer/email?source_type=16

 

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SOURCE Canton Fair

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Zhejiang unicorn ranks grow to 58 as Hangzhou tightens lead, top ranking shows

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Province adds three unicorns, expands high-growth pipeline
Hangzhou accounts for 83% as new entrants and startups scale up

HANGZHOU, China, April 24, 2026 /PRNewswire/ — Zhejiang’s roster of unicorn companies has expanded to 58 as of April 2026, highlighting the province’s growing role as a hub for emerging technologies and industrial upgrading.

The latest rankings, released at the 10th All Blossom Conference in Hangzhou on April 23, show companies spread across seven cities, including Hangzhou, Ningbo, Jiaxing, Jinhua, Shaoxing, Taizhou and Wenzhou.

While Hangzhou, Ningbo and Jiaxing remain the top three hubs, the broader distribution points to a more geographically balanced innovation landscape. The province’s unicorn count rose by three from a year earlier.

Hangzhou continues to dominate the landscape, home to 48 of Zhejiang’s unicorns, up from 44 last year—when it already accounted for roughly four out of every five such startups.

The annual rankings also include tiered lists of “future unicorns,” valued between $100 million and $1 billion, and early-stage “seed unicorns” worth $10 million to $100 million.

Together, they map a full pipeline of high-growth companies across sectors such as artificial intelligence, embodied intelligence, life sciences, new energy, semiconductors, advanced manufacturing and aerospace, and have become a key barometer of Zhejiang’s startup ecosystem.

Among the top 100 future unicorns, integrated circuits lead with 22 companies, followed by artificial intelligence and life sciences with 19 each. Advanced manufacturing accounts for 16 firms, new energy and materials 15, and next-generation information technology nine.

In the seed unicorn category, new energy and life sciences each count 22 companies, ahead of advanced manufacturing with 19, while AI, next-generation IT and semiconductors each have 11 firms, and aerospace-related companies total four.

Against that provincial backdrop, Hangzhou remains the clear center of gravity—continuing to generate both the largest share of unicorns and the deepest pipeline of emerging startups.

The city added eight companies to its unicorn ranks on April 23, bringing the total to 48, according to the same conference ranking.

The new entrants—Hailiang Technology Services, Geener Microelectronics, Spirit AI, Geespace, Sunrise, Seepin, DEEP Robotics and Simplexity Robotics—span sectors from semiconductors and robotics to commercial aerospace.

As of April, Hangzhou accounted for 83% of Zhejiang’s unicorns, up from 80% a year earlier, underscoring its outsized role in the province’s innovation economy.

The conference also released a list of 413 quasi-unicorns—companies typically valued between $100 million and $1 billion—including 50 new additions.

Several firms, such as Diagens Biotechnology, Manycore Tech, Mirxes, Promisemed, Saint Bella, Tide Pharmaceutical, Tongshifu and ISV, exited the list after scaling into unicorn status or completing initial public offerings.

Quasi-unicorns are concentrated in sectors aligned with Hangzhou’s broader “296X” industrial strategy. Life sciences lead with 118 firms, followed by next-generation information technology with 78 and AI and embodied intelligence with 50—together accounting for about 60% of the total.

The “296X” is an industrial cluster blueprint the city introduced in October 2025 in an effort to speed up the integration of technological and industrial innovation.

More than half of both unicorns and quasi-unicorns—255 companies—are classified as nationally recognized “specialized and refined” enterprises, including 20 unicorns and 235 quasi-unicorns, reflecting a structured pipeline of high-growth firms.

Since 2018, Hangzhou’s unicorn count has risen from 26 to 48, while quasi-unicorns have expanded from 105 to 413, underscoring sustained growth in its innovation-driven economy.

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SOURCE All Blossom Conference

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KUN Unveils AI Intelligent Strategy at Money20/20 Asia: Reconstructing Global Commercial Efficiency with “1-1-4-6” Layout

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BANGKOK, April 24, 2026 /PRNewswire/ — At the prestigious Money20/20 Asia held at QSNCC, KUN showcased its upgraded brand identity and launched the “1-1-4-6” Intelligent Strategic Blueprint. This milestone marks KUN’s comprehensive transition toward a globalized, full-stack, and intelligent ecosystem.

Dr. Louis Liu, Founder & Group CEO of KUN, stated at the launch: “While the convergence of Web2 and Web3 defines the current era, we believe the embedded ecosystem synergy of AI and Web3 is the inevitable future of commerce. Our evolution is an intelligent reconstruction of commercial efficiency. By leveraging decades of vertical payment expertise, we provide enterprise clients with full-stack, end-to-end payment and financial solutions. Through digital orchestration and operations, we deliver secure, compliant, and high-velocity transaction safeguards to empower global business growth.”

Money20/20 Roundtable: Compliance as the “Scaling Layer” for Institutional Adoption

At the “Bridging TradFi and DeFi” roundtable, Dr. Liu shared three key insights on the future of cross-border finance:

Asia as the Hub for Real-World Stablecoin Settlement: Asia has emerged as a critical hub for cross-border trade flows and stablecoin settlement, connecting high-growth emerging markets. Currently, 60% of the world’s on-chain stablecoin trade volume is centered in Asia, making it a primary corridor for capital flows between Asia, LATAM, Africa, and the Middle East.

Compliance as the “Scaling Layer”: The bottleneck for scaling digital payments is not technology or licensing, but the ability to embed jurisdictional compliance frameworks into business logic. Integrating AML and risk controls directly into the payment flow is the prerequisite for the explosion of global institutional applications.

Accelerating AI and Web3 Ecosystem Convergence: As AI agents increasingly enter commercial decision-making, payments are shifting from human-controlled to autonomous. Blockchain and stablecoins will serve as the default infrastructure for Agent-to-Agent (A2A) transactions.

Exhibition Interaction: From Platform Governance to Vertical Efficiency

At the main exhibition area, KUN demonstrated its dual-brand synergy through a new visual identity:

KUN: Positioned as the Trusted Vertical Digital Payments Platform for Real Economy, providing one-stop digital payments and scenario-based on-chain financial solutions.

YeeZ: A KUN Group brand specializing in 2B2C Global Corporate Card Issuance for global enterprises.

The “1-1-4-6” Strategic Blueprint: Driving Global Growth

KUN decoded its “1-1-4-6” strategy—an AI-powered blueprint designed for seamless asset mobility. The ecosystem integrates KUN Space™ (the digital payments & financial services platform) with KUN Nexus™ (the AI-orchestrated liquidity network). Driven by four core engines—KUN | Pay, KUN | Cards, KUN | Money, and KUN | Agent—the strategy empowers liquidity for six vertical sectors: Bulk Commodity, General Trade, B2B Cross-border E-Commerce, Service Trade, Web3 Ecosystems, and AI Applications.

Future Vision: The Era of “Driverless” Intelligent Payments

The launch highlighted KUN | Agent as the pioneer of the “driverless” era of intelligent global payments.

KUNClaw.AI: Orchestrates autonomous financial workflows to drive intelligent cost reduction and efficiency.

AI Agent Wallet: Features programmable KYC and authorization fences to ensure secure, compliant execution where “decision is payment”.

Seamless Network, Borderless Payments.

KUN remains dedicated to serving as the engine for the real economy, providing secure, compliant, and efficient one-stop cross-border payment solutions in an uncertain global environment.

About KUN

KUN is an innovative financial infrastructure company centered on digital payments and embedded finance. Built on a globally distributed licensing framework and a robust compliance and risk-management system, KUN connects Asia with high-growth emerging markets across Africa, Latin America, and the Middle East.

Positioned as a trusted vertical digital payments platform for real economies, the company operates across four core pillars—Cross-Border Digital Payments, On-Chain Finance, Card Issuing, and AI Agentic Payments. By integrating artificial intelligence and blockchain technologies, KUN delivers secure, compliant, and efficient one-stop payment and transaction services for enterprise clients across industries including commodity trade, B2B cross-border e-commerce, service trade, Web3 ecosystems, and AI applications.

Through this integrated infrastructure, KUN serves as a growth engine enabling enterprises to expand globally with speed, trust, and financial connectivity.

Learn more about KUN → www.kun.global

Contact: KUN: brandmkt@kun.global  

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