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Digital English Language Learning Market to Grow by USD 39.46 Billion (2025-2029), Boosted by Increased Flexibility of Digital Courses, Market Evolution Powered by AI – Technavio

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NEW YORK, Feb. 6, 2025 /PRNewswire/ — Report on how AI is driving market transformation – The global digital english language learning market size is estimated to grow by USD 39.46 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  24.5%  during the forecast period. Increased flexibility offered by digital language courses is driving market growth, with a trend towards increasing adoption of ar and vr in english classrooms. However, high investments in digital learning infrastructure  poses a challenge. Key market players include 51Talk Online Education Group, Berlitz Corp., Busuu Ltd., Cambridge University Press, Cengage Learning Holdings II Inc., Chegg Inc., Duolingo Inc., EF Education First Ltd., ELSA Co. Ltd., Houghton Mifflin Harcourt Co., inlingua International Ltd., IXL Learning Inc., John Wiley and Sons Inc., New Oriental Education and Technology Group Inc., Oxford University Press, Pearson Plc, Sanako, VIPKID HK Ltd., Voxy Inc., and WSE Hong Kong Ltd..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

Digital English Language Learning Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 24.5%

Market growth 2025-2029

USD 39459.4 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

19.4

Regional analysis

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

Performing market contribution

APAC at 39%

Key countries

US, China, UK, India, Germany, France, South Korea, Canada, Mexico, and Brazil

Key companies profiled

51Talk Online Education Group, Berlitz Corp., Busuu Ltd., Cambridge University Press, Cengage Learning Holdings II Inc., Chegg Inc., Duolingo Inc., EF Education First Ltd., ELSA Co. Ltd., Houghton Mifflin Harcourt Co., inlingua International Ltd., IXL Learning Inc., John Wiley and Sons Inc., New Oriental Education and Technology Group Inc., Oxford University Press, Pearson Plc, Sanako, VIPKID HK Ltd., Voxy Inc., and WSE Hong Kong Ltd.

Market Driver

The Digital English Language Learning Market is booming with trends like Online Courses, Mobile Learning, E-learning Platforms, Language Apps, and Virtual Classrooms. AI Tutors, Adaptive Learning, and EdTech are transforming education with personalized, interactive, and gamified content. Voice recognition and speech analysis improve learning experience. Digital literacy is essential, and Learning Management Systems offer cloud-based, subscription-based, and blended learning solutions. Virtual Reality and Augmented Reality provide learning experiences. Personalized learning paths, real-time feedback, and digital certification are key features. Bilingual education, content management, and online tutoring are in demand. MOOCs, digital assessments, and peer learning offer access to quality education for all. Skill development through microlearning, interactive whiteboards, and webinars is popular. Collaboration tools, language labs, and online exams with proctoring ensure effective learning. Learning analytics, digital badges, and knowledge base provide valuable insights. Interactive exercises, online communities, and digital homework complete the learning journey. 

The digital English language learning market has seen a significant shift with the integration of virtual reality (VR) technology in education. Due to travel restrictions, VR has become an attractive alternative for students seeking language learning experiences. This cutting-edge technology offers numerous advantages, such as interactive and engaging lessons, real-life simulations, and the ability to learn at one’s own pace. With continuous advancements in the VR industry, students can access various applications to study digital English language from the comfort of their homes. The potential for endless  experiences makes VR an exciting addition to modern language learning. 

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 Market Challenges

The Digital English Language Learning Market is booming with various innovative solutions. Online courses, mobile learning, e-learning platforms, language apps, and virtual classrooms are transforming the way we learn English. AI tutors, adaptive learning, and EdTech offer personalized learning experiences. Interactive content, gamification, voice recognition, and speech analysis enhance user engagement. Digital literacy, learning management systems, cloud-based learning, and subscription models provide flexibility. Language proficiency is the goal, with video lessons, real-time feedback, bilingual education, and digital assessments measuring progress. Peer learning, self-paced learning, and blended learning cater to diverse learning styles. Digital certification, microlearning, and interactive whiteboards offer convenience and recognition. Virtual reality, augmented reality, and cross-platform learning add excitement. Collaboration tools, language labs, and online exams ensure accountability. Learning pathways, digital badges, webinars, podcasting, and knowledge bases provide comprehensive resources. Skill development, mobile apps, e-books, digital flashcards, pronunciation tools, and grammar checkers offer practical applications. Vocabulary builders, online practice, learning portals, course personalization, multimodal learning, user engagement, and progress tracking keep learners motivated.English language learning labs are increasingly being adopted in schools and educational institutions due to their global significance. These labs enable teachers to use audio or audio-visual tools for effective English instruction. The establishment of such labs necessitates considerable investment in hardware, space, and human resources. The cost of hardware is substantial and a major component of the lab’s overall cost structure. The operating system’s cost also influences the total lab expenses. Setting up English language learning labs involves significant challenges, including high hardware costs and the need for adequate space and skilled personnel.

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Segment Overview 

This digital english language learning market report extensively covers market segmentation by  

End-userNon Academic LearnersAcademic LearnersDeploymentOn PremisesCloud BasedGeographyAPACEuropeNorth AmericaSouth AmericaMiddle East And Africa

1.1 Non academic learners-  The corporate sector is a significant sub-segment within the non-academic learners segment, driving high demand for digital English language learning courses. Extensive corporate communication and international business operations necessitate proficiency in English. Diverse workforces and increased online communication further boost this demand. IELTS and TOEFL are widely used as language proficiency benchmarks, increasing the market’s appeal. Individual learners benefit from digital language solutions, including customized courses and mobile applications. Self-paced learning is popular among corporate employees, with companies providing access to digital libraries. Vendors focus on cloud-based programs and blended learning to cater to this trend. These factors contribute to the growth of the non-academic learners segment in the global digital English language learning market.

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Research Analysis

The Digital English Language Learning Market is a dynamic and innovative sector, offering various solutions for learners to improve their English proficiency in a digital age. Online Courses provide flexibility and accessibility, while Mobile Learning allows learning on-the-go. E-learning Platforms and Virtual Classrooms offer interactive and engaging experiences, and AI Tutors and Adaptive Learning personalize instruction for each learner. EdTech, Language Proficiency, and Interactive Content are at the heart of this industry. Gamification, Digital Literacy, and Cloud-based Learning enhance engagement and accessibility. Personalized Learning, Video Lessons, Real-time Feedback, and Content Management cater to individual needs. Online Tutoring, MOOCs, Blended Learning, Courseware, Learning Analytics, Peer Learning, Self-paced Learning, Synchronous Learning, Asynchronous Learning, Digital Certification, Microlearning, Interactive Whiteboards, Virtual Reality, and more, make up this diverse and ever-evolving market.

Market Research Overview

The Digital English Language Learning Market is a dynamic and innovative sector, offering various solutions for individuals seeking to improve their English language proficiency in a digital format. This market includes Online Courses, Mobile Learning, E-learning Platforms, Language Apps, Virtual Classrooms, and AI Tutors, all designed to cater to diverse learning styles and needs. Adaptive Learning, EdTech, and Digital Curriculum are key components, ensuring personalized and effective instruction. Interactive Content, Gamification, Voice Recognition, Speech Analysis, and Digital Literacy are essential features that enhance the learning experience. Learning Management Systems, Cloud-based Learning, Subscription Models, and Personalized Learning provide flexibility and convenience. Video Lessons, Real-time Feedback, Bilingual Education, Content Management, Online Tutoring, and MOOCs offer comprehensive and accessible learning opportunities. Digital Assessments, Blended Learning, Courseware, Learning Analytics, Peer Learning, Self-paced Learning, Synchronous Learning, Asynchronous Learning, Digital Certification, Microlearning, Interactive Whiteboards, Virtual Reality, Augmented Reality, Cross-platform Learning, Social Learning, Collaboration Tools, Language Labs, Online Exams, Proctoring Tools, Learning Pathways, Digital Badges, Webinars, Podcasting, Knowledge Base, Interactive Exercises, Online Communities, Digital Homework, Resource Libraries, Online Workshops, Skill Development, Mobile Apps, E-books, Digital Flashcards, Pronunciation Tools, and Grammar Checkers are all integral parts of this vibrant market.

Table of Contents:

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

End-userNon Academic LearnersAcademic LearnersDeploymentOn PremisesCloud BasedGeographyAPACEuropeNorth AmericaSouth AmericaMiddle East And Africa

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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Technology

Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Technology

Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

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