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AI in Education Market worth $5.82 billion by 2030- Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Nov. 27, 2024 /PRNewswire/ — The AI in Education Market is expected to reach USD 5.82 billion by 2030 from USD 2.21 billion in 2024, at a CAGR of 17.5% during 2024–2030, according to a new report by MarketsandMarkets™.

Browse in-depth TOC on “AI in Education Market”

320 – Tables
70 – Figures
340 – Pages

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Scope of the Report

Report Metrics

Details

Market size available for years

2019-2030

Base year considered

2023

Forecast period

2024-2030

Forecast units

(USD Billion)

Segments Covered

Offering, Technology, Application, End user, and Region

Geographics covered

North America, Europe, Asia Pacific, Middle East & Africa, Latin America

Companies covered

Major vendors in the global AI in Education Market are Microsoft (US), IBM (US), Google (US), Alibaba Cloud (China), AWS (US), Adobe (US), Pearson (UK), Baidu (China), OpenAI (US), Duolingo (US),  Cengage Group (US), Knewton (US), Skillsoft (US), Udacity (US), Stride (US), HPE (US), Carnegie Learning (US), Dreambox Learning (US), Quizlet (US), Grammarly (US), Vimeo (US), Riiid (South Korea), Cognii (US), Elsa Speak (US), Memrise (UK), Alef Education (UAE), Querium (US), Amira Learning (US), Knowre (US), Century Tech (UK), Thinkster Math (US), Quizizz (India), Khan Academy (US), Sana Labs (Sweden), Teachmint X (India), 360Learning (US), Mainstay (India), Blippar (UK), Blue Canoe Learning (US), Otter.ai (US), Quillbot (US), Nolej (France), and Speechify (US).

 

The rising demand for customized educational experiences is a key driver of growth in the AI in Education Market. AI-based education systems enable adaptive learning, adjusting content in real-time based on student performance, which boosts engagement and motivation. Intelligent tutoring systems function as virtual tutors, providing personalized feedback and support to help students master complex concepts. By analyzing student data, AI can recommend resources tailored to individual interests and learning goals. Additionally, automated assessments deliver instant feedback, allowing students to identify areas for improvement quickly. AI also supports diverse learners by detecting challenges early and offering targeted interventions. This data-driven approach provides educators with valuable insights into performance trends, empowering them to make informed instructional decisions. As a scalable solution, AI-powered personalized learning can be implemented across a variety of educational settings, making high-quality education more accessible to a broader audience.

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Rising demand for customized educational experiences through AI in personalized learning.

The AI in Education Market is projected to grow from USD 2.21 billion in 2024 to USD 5.82 billion by 2030, at a compound annual growth rate (CAGR) of 17.5% during the forecast period. The demand for personalized learning through AI is growing due to several key factors. The increasing recognition of individualized education, which caters to diverse learning styles and paces, drives the need for AI’s data-analysis capabilities to create tailored learning pathways. The rise of online education also contributes to this trend, as AI offers on-demand resources and adaptive content that align with students’ preferences and progress. AI-driven platforms provide real-time feedback, helping students understand their strengths and weaknesses, thereby enhancing learning outcomes and fostering student ownership. Additionally, the demand for lifelong learning in both academic and corporate sectors has led to customized training programs that meet individual career goals. Parental advocacy for personalized education further fuels the trend, prompting schools to adopt AI solutions. These factors collectively drive the demand for AI-powered tools for personalized learning experiences across the educational sector.

In services, professional development program to lead the market during the forecast period.

Professional development programs assist educators in improving their knowledge, skills, and expertise in knowledge sharing. This program aims to enhance the knowledge and techniques needed to upgrade teaching skills effectively and develop better learning environments for students. Approaches to professional development include consultation, coaching, mentoring, and technical assistance. The focus is mostly on collaboration and evaluation of educators to enhance student outcomes. These development programs aim to enhance teaching and coaching practices along with better teaching strategies associated with specific curriculum content.

By Academic application, the predictive analysis segment will grow at a rapid pace during the forecast period.

The utilization of predictive analysis tools in education could uncover trends that can enhance learner responsiveness and overall performance to improve student engagement. Colleges, universities, and training centers provide quality education to students irrespective of geographical barriers, improve quality education, and better refine curriculum and teaching strategies. Predictive analysis plays a pivotal role in student management as it analyzes students’ historical performance data which supports colleges or universities in creating more robust education system for immersive learning experiences.

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In deployment mode, the cloud segment will contribute the higher market share during the forecast period.

Cloud deployment is poised to capture a larger share of the AI in Education Market due to several compelling advantages it offers to educational institutions. Cloud-based platforms facilitate cost-efficiency by reducing the need for extensive physical infrastructure and maintenance costs. Institutions can leverage cloud services on a pay-as-you-go basis, making it financially viable for many organizations to adopt advanced AI technologies. The shift towards online learning, accelerated by global events, has further emphasized the necessity of cloud solutions, which enable access to educational resources and AI tools from any location at any time. Moreover, cloud deployment allows for enhanced real-time data analytics and feedback mechanisms. Educators can monitor student progress more effectively and adapt teaching strategies based on immediate insights, thereby personalizing learning experiences. The integration of AI in educational content creation and management processes also benefits from the cloud’s capabilities, as it supports the delivery of dynamic and interactive learning environments.

By region, Asia Pacific to register the highest CAGR market during the forecast period.

The Asia Pacific region is poised to exhibit the highest CAGR in the AI in Education Market, driven by several key factors that highlight its rapid expansion and adoption of advanced educational technologies. Generative AI tools facilitate tailored educational content, allowing students to engage with materials that match their individual learning styles and paces. For instance, AI-driven platforms can adapt lessons in real time based on student performance, fostering greater engagement and understanding. Additionally, these technologies empower educators by automating administrative tasks and providing insights through data analytics, enabling more effective teaching strategies. Furthermore, initiatives in these countries emphasize ethical AI use and teacher training, ensuring that educators are well-equipped to harness AI’s potential responsibly. Overall, the effective application of generative AI in education across the Asia-Pacific is paving the way for innovative teaching and learning practices.

Top Key Companies in AI in Education Market:

Some major players in the AI in Education Market include Microsoft (US), IBM (US), Google (US), Alibaba Cloud (China), AWS (US), Adobe (US), Pearson (UK), Baidu (China), OpenAI (US), Duolingo (US),  Cengage Group (US), Knewton (US), Skillsoft (US), Udacity (US), Stride (US), HPE (US), Carnegie Learning (US), Dreambox Learning (US), Quizlet (US), Grammarly (US), Vimeo (US), Riiid (South Korea), Cognii (US), Elsa Speak (US), Memrise (UK), Alef Education (UAE), Querium (US), Amira Learning (US), Knowre (US), Century Tech (UK), Thinkster Math (US), Quizizz (India), Khan Academy (US), Sana Labs (Sweden), Teachmint X (India), 360Learning (US), Mainstay (India), Blippar (UK), Blue Canoe Learning (US), Otter.ai (US), Quillbot (US), Nolej (France), and Speechify (US).

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MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

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Shoplazza Launches the World’s First AI-Native Commerce Operating System with a Unified Suite of AI Agents

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TORONTO, April 20, 2026 /PRNewswire/ — Shoplazza, a leading global commerce platform, announced the launch of the world’s first AI native commerce operating system recently, along with a unified suite of AI agents designed to execute across the entire ecommerce lifecycle. The release marks a major step forward in the company’s evolution from a traditional software platform to an AI-driven commerce infrastructure built for global scale.

At the core of the system is Shoplazza AI Store Builder, an intelligent agent that fundamentally changes how online stores are created. Instead of configuring tools manually, merchants can now generate fully functional, ready to sell storefronts through simple natural language input. By interpreting product information, target markets, and customer profiles, the system automatically builds site architecture, generates localized content, and provides initial go to market recommendations. What once required weeks of setup can now be completed in minutes, with a complete store and launch ready foundation.

Shoplazza also introduced LazzaStudio, an AI powered visual creation agent that streamlines how merchants produce content at scale. From product imagery to marketing creatives and campaign visuals, LazzaStudio transforms traditionally complex production workflows into a prompt driven process. With built in brand learning capabilities, the system generates consistent, high quality assets tailored for global audiences, enabling merchants to deploy content seamlessly across storefronts and advertising channels while significantly reducing production time and cost.

To complete the growth loop, Shoplazza launched AdValet, an AI advertising agent that automates campaign execution end to end. AdValet translates product data and market signals into audience targeting, creative generation, media planning, and campaign deployment. During live campaigns, it continuously monitors performance and dynamically optimizes outcomes through real time feedback and model iteration. This shifts advertising from manual, experience based trial and error to a system of continuous, AI-driven performance optimization.

These agents operate together within Shoplazza’s AI-native commerce operating system, where merchant intent is translated directly into coordinated execution. By unifying store creation, content production, and marketing into a single system, Shoplazza replaces fragmented workflows with an integrated layer of automation that enables faster, more predictable growth.

Shoplazza currently supports more than 650,000 merchants worldwide. With its AI-native architecture, the platform brings together previously disconnected capabilities into a single intelligent system, delivering improvements in efficiency, scalability, and operational reliability for businesses operating in increasingly complex global markets.

Looking ahead, Shoplazza will introduce Athena very soon, an AI admin agent designed to extend automation into day to day business management. Covering areas such as product management, order processing, analytics, and content operations, Athena allows merchants to interact with the system conversationally while orchestrating multiple agents in the background. This will complete a fully connected agent ecosystem spanning store creation, creative production, marketing execution, and ongoing operations.

“Commerce has reached a point where adding more tools no longer solves the problem,” said Jeff Li, Founder and CEO of Shoplazza. “What merchants need is a system that can understand intent and execute across the entire business. That is what we are building with our AI native commerce operating system. It is not just about making things easier. It is about making outcomes more predictable, scalable, and aligned with how modern commerce actually operates.”

About Shoplazza

Shoplazza is a global AI-native commerce operating system that enables brands to build, launch, and scale their online businesses. Built on an AI agent-native framework, Shoplazza integrates storefronts, marketing, payments, and operational workflows into a unified system designed to support scalable, long-term growth across global markets. Learn more at https://www.shoplazza.com/.

 

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SOURCE Shoplazza

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Pricer and JRTech Solutions sign 51 MUSD digital store transformation deal with Sobeys in Canada

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MONTREAL, April 20, 2026 /PRNewswire/ – Pricer AB, a global leader in digital shelf-edge solutions, announces that its Canadian partner JRTech Solutions has signed a major agreement with Sobeys, one of Canada’s leading supermarket chains. The contract includes the deployment of Pricer’s latest electronic shelf label (ESL) technology and the cloud-based platform Pricer Plaza across an estimated 300–350 stores.

The agreement covers the supply of multicolor electronic shelf labels and the necessary store infrastructure, with a total hardware and infrastructure value of approximately 51 MUSD (excluding Pricer Plaza). The deployment is scheduled for an 18-month period starting in May 2026.

“We are very grateful for the trust and that Sobeys has once again chosen Pricer as its long-term strategic partner,” says Mats Arnehall, Chief Growth Officer at Pricer. “This deal confirms our leading position in the North American market and the value of our high-performance system in high-density retail environments. Our scalable cloud platform, Pricer Plaza, will be the intelligence behind every label, enabling Sobeys to act faster and work smarter.”

“After years of close collaboration and shared success, we’re proud to grow our partnership with Sobeys even further with an expanded rollout,” says Diego Mazzone, President and CEO of JRTech Solutions. “That momentum is driven by our ability to consistently deliver reliable, high-quality solutions in complex retail environments. Together, we are positioning our digital smart labels at the heart of a broader digital transformation, driving operational excellence, unlocking real-time intelligence, and creating meaningful value for both Sobeys and their customers.”

Orders will be included in Pricer’s order intake as they are received.

About JRTech Solutions
JRTech Solutions Inc. is the leading North American turnkey Electronic Shelf Label (ESL) provider and the largest worldwide distributor of Pricer ESLs, involved in over 2,000 store installations since 2008. JRTech Solutions is the exclusive Canadian provider of AI-powered inventory scanning robotics powered by Brain Corp for automated inventory management.
For further information: www.jrtechsolutions.com

About Pricer
Pricer is a pioneer and partner for in-store communication and digitalization in the rapidly evolving retail tech landscape. As a global technology leader, we empower leading retailers worldwide to shape effortless and inspiring shopping experiences that fundamentally change buying behaviors, boost sales, and drive operational efficiency. Leveraging cutting-edge innovation, we deliver scalable, high-performing solutions that easily integrate with existing systems, are energy-efficient, and user-friendly. Founded in Sweden in 1991 and listed on Nasdaq Stockholm, Pricer has delivered over 380 million electronic shelf labels in more than 28,000 stores across more than 80 countries.
For further information, please visit www.pricer.com

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SOURCE JRTECH SOLUTIONS INC.

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Mitate Zepto Technica Joins JST’s Next-generation Edge AI Semiconductor R&D Program as Social Implementation Partner

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– MZT to Lead Product Commercialization through Its Genome-analysis Accelerator “RASEN” –

TOKYO, April 20, 2026 /PRNewswire/ — Mitate Zepto Technica, Inc. (hereinafter “MZT”), based in Tokyo’s Shibuya district, announced on April 20 that it has joined the national research initiative “Next-Generation Edge AI Semiconductor Research and Development Program” promoted by the Japan Science and Technology Agency (JST). MZT participates as a designated social implementation and commercialization partner for the research theme “Accelerating Edge Intelligence for AI for Science” (Principal Investigator: Makoto Taiji, Program Director, TRIP Headquarters, RIKEN).

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This research theme aims to achieve advanced computational infrastructure through the integration of AI technology and next-generation edge semiconductors, with genome analysis as one of its key application domains. MZT participates as an organization responsible for the productization and social implementation of research outcomes through its proprietary genome-analysis accelerator “RASEN.”

Background

Since its founding in 2020, MZT has pursued a distinctive approach to genome analysis: purpose-built ASIC acceleration. Following technology validation through joint research with Tohoku University and other partners, MZT now participates as an R&D institution responsible for social implementation under this research theme.

MZT’s Role in the Program

Within this research theme, MZT will integrate AI research outcomes from RIKEN and Tohoku University into the RASEN architecture, and lead the R&D work toward social implementation through ASIC development and productization. As the industrial partner bridging research and real-world deployment, the company targets social implementation by 2029.

Program Overview

Research theme: Accelerating edge intelligence for AI for science
Promoting agency: Japan Science and Technology Agency (JST)
Principal investigator: Makoto Taiji, Program Director, TRIP Headquarters, RIKEN
Participating institutions: RIKEN, Tohoku University, Keio University, Mitate Zepto Technica
MZT’s participation start: April 2026 (FY2026)
JST program period: FY2025 onwards

Comment from Keisuke Harashima, President & CEO, Mitate Zepto Technica:
“It is a tremendous honor that we can lead the social implementation of this research theme through the acceleration of genome analysis via dedicated semiconductors — a challenge we have pursued since MZT’s founding. RASEN is at exactly the right inflection point, transitioning from research to real-world deployment. We will use this participation to accelerate commercialization across healthcare, drug discovery, and research infrastructure.”

About RASEN

RASEN is MZT’s proprietary genome-analysis accelerator under development, built on a purpose-designed ASIC architecture. In internal validation, RASEN has demonstrated the ability to complete whole-genome sequencing (WGS) analysis in approximately 5 minutes on a standard workstation — without the need for supercomputers or high-performance computing infrastructure. In independent validation studies conducted with Tohoku University, RASEN achieved 99.8% concordance with conventional analysis methods across 12 samples, confirming that its speed advantage does not come at the cost of accuracy.

About Mitate Zepto Technica

Mitate Zepto Technica is a Japanese deep-tech startup developing purpose-built semiconductor solutions for genome analysis. By harnessing cutting-edge chip technology, MZT aims to deliver transformative speed improvements in genomic computation –contributing to the resolution of global challenges in healthcare, food security, and energy through its proprietary products.

Website: https://mitatezeptotechnica.com/en/company/ 

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SOURCE Mitate Zepto Technica, Inc.

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