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Global English Language Learning (Blended, Offline, Online) Market 2023-2030: Growing Demand for E-learning and Increasing Incorporation of Artificial Intelligence and Robotics in Delivery

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DUBLIN, March 4, 2024 /PRNewswire/ — The “Global English Language Learning Market by Methodology (Blended Learning, Offline Learning, Online Learning), Learning Mode, Age Group, End User (Individual Learners, Educational Institutes, Government Bodies), and Geography – Forecast to 2030” report has been added to ResearchAndMarkets.com’s offering.

The English language learning market is projected to reach $77.9 billion by 2030, at a CAGR of 10.5% during the forecast period of 2023-2030.

The growth of the English language learning market is driven by the rising importance of English in business and professional settings, increasing investments in start-ups and small companies specializing in language education, the high affordability of English language learning apps, and the growing need for cross-border communication. However, the reluctance to accept English as the primary language in some countries restrains the growth of this market.

Furthermore, increasing government spending on the education sector and the growth in transnational education (TNE) are expected to generate growth opportunities for the players operating in this market. However, the shortage of trained English tutors is a major challenge impacting the growth of the English language learning market.

2023, Asia-Pacific is expected to account for the largest share of the global English language learning market. Asia-Pacific’s major market share can be attributed to several factors, including the rising trend of digitalizing educational content, growing demand for language skills for cross-border work and collaboration, the widespread availability of E-learning courses, increasing popularity of English learning programs, expanding Internet accessibility, heightened government focus on education through various initiatives, and a growing emphasis on enhancing employability and job prospects. 

Based on learning mode, in 2023, the tutoring segment is expected to account for the larger share of the global English language learning market. The large market share of this segment is attributed to the growing investments in e-learning tools and technologies to enhance the teaching experience, the increasing need for education, and the demand for cost-effective programs to address the knowledge gap in students. However, the self-learning apps and applications segment is projected to register a higher CAGR during the forecast period.

Based on age group, in 2023, the 13-17 years segment is expected to account for the largest share of the global English language learning market. The large market share of this segment is attributed to the increasing digitization of public schools, the rising number of English learners, the significant increase in smartphone users, the increasing demand for kids’ learning apps, the rising preference for interactive and engaging learning experiences, and increasing need for immersive and practical language practice. However, the 18-20 years segment is projected to register the highest CAGR during the forecast period.

Based on end user, in 2023, the individual learners segment is expected to account for the largest share of the global English language learning market. The large market share of this segment is attributed to the rising adoption of smart devices, increasing internet accessibility, proliferation of social media platforms, and the presence of numerous well-established language learning sites. Moreover, this segment is projected to register the highest CAGR during the forecast period.

Key Questions Answered in the Report:

Which are the high-growth market segments in terms of methodology, learning mode, age group, and end user?What is the historical market size for the global English language learning market?What are the market forecasts and estimates for 2023-2030?What are the major drivers, restraints, opportunities, challenges, and trends in the global English language learning market?Who are the major players in the global English language learning market, and what are their market shares?What is the competitive landscape like?What are the recent developments in the global English language learning market?What are the geographic trends and high-growth countries?Who are the local emerging players in the global English language learning market, and how do they compete with other players?

Market Insights

Factors Affecting Market Growth

Rising Importance of English In Business and Professional Areas Supporting Market GrowthIncreasing Investments in Start-Ups and Small Companies Providing Language Education Accelerating the Development of English Language Learning PlatformsHigh Affordability of Language Learning Apps Making English Increasingly Accessible to LearnersGrowing Need for Cross-Border Communication Driving the Development of English Language Learning ProgramsReluctance to Accept English as the Primary Language Restraining Market GrowthIncreasing Government Spending on the Education Sector Expected to Generate Market Growth OpportunitiesGrowth in Transnational Education (TNE) Expected to Accelerate the Expansion of the English Language Learning MarketShortage of Trained English Tutors Impacting Market Growth

Key Trends

Increasing Incorporation of Artificial Intelligence and Robotics in the Delivery of Language EducationGrowing Demand for E-learning

Value Chain Analysis

Primary ActivitiesSupport Activities

Company Profiles (Company Overview, Financial Overview, Product Portfolio, and Strategic Developments)

Cambridge University Press & Assessment (U.K.)New Oriental Education & Technology Group Inc. (China)Houghton Mifflin Harcourt Publishing Company (U.S.) (A Subsidiary of Veritas Capital Fund Management L.L.C.)McGraw-Hill Education Inc. (U.S.) (A Subsidiary of Platinum Equity LLC)Duolingo Inc. (U.S.)Berlitz Corporation (U.S.) (A Subsidiary of Benesse Holdings Inc.)Busuu Limited (Spain) (A Subsidiary of Chegg Inc.)Babbel GmbH (Germany)ATI STUDIOS A.P.P.S. S.R.L (Mondly) (Romania)ELSA Corp. (U.S.)FluentU (China) (A Part of Enux Education Limited)Memrise Limited (U.K.)Mango Languages (U.S.)Rosetta Stone LLC (U.S.)inlingua International Ltd. (Switzerland)Sanako Oy (Finland)Transparent Language Inc. (U.S.)Open Education LLC (U.S.)EF Education First (Sweden)International House World Organisation Ltd (U.K.)English Worldwide SL (ABA English) (Spain)Udemy Inc. (U.S.)

Scope of the Report:

English Language Learning Market Assessment – by Methodology

Blended LearningOffline LearningOnline Learning

English Language Learning Market Assessment – by Learning Mode

Self-learning Apps and ApplicationsTutoringOne-on-One LearningGroup Learning

English Language Learning Market Assessment – by Age Group

< 13 Years13-17 Years18-20 Years21-30 Years31-40 Years> 40 Years

English Language Learning Market Assessment – by End User

Individual LearnersEducational InstitutesK-12Higher EducationGovernment BodiesCorporate Learners

English Language Learning Market Assessment – by Geography

North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainRussiaPolandNetherlandsBelgiumSwedenAustriaSwitzerlandFinlandNorwayTurkeyIrelandLuxembourgRest of EuropeAsia-PacificChinaJapanSouth KoreaIndiaIndonesiaAustralia & New ZealandTaiwanHongkongSingaporeMalaysiaVietnamRest of Asia-PacificLatin AmericaMexicoBrazilRest of LATAMMiddle East & AfricaSaudi ArabiaUAERest of MEA

For more information about this report visit https://www.researchandmarkets.com/r/sr8sks

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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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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on

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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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