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English Language Learning Market to be Worth $91.1Billion by 2031 – Exclusive Report by Meticulous Research®

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REDDING, Calif., Dec. 3, 2024 /PRNewswire/ — According to a new market research report titled, ‘English Language Learning Market Size, Share, Forecast, & Trends Analysis Methodology (Blended, Offline, Online), Learning Mode, Age Group, End User (Individual Learners, Educational Institutes, Government Bodies, Corporate Learners)—Global Forecast to 2031.

The English Language Learning market is expected to reach $91.1 billion by 2031, at a CAGR of 10.6% from 2024 to 2031.

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English is a lingua franca, or a common language, that enables people who do not share a dialect to communicate. Learning English helps individuals build trust with colleagues and clients, improve international relationships, enhance their skill set, command a higher salary, and foster cultural understanding. Proficiency in English also enhances a person’s skill set, making them more competitive in the global job market. It often leads to higher salaries, as employers value employees who can effectively communicate with international clients and partners.

Moreover, learning English promotes cultural understanding, allowing individuals to appreciate and engage with diverse perspectives, which is essential for strengthening international relationships in an increasingly interconnected world.

The growth of this market is driven by the rising importance of English in business & professional areas, increasing investments in start-ups & small companies teaching English, and the minimal cost of English language learning apps. However, reluctance to accept English as a primary communication tool in some countries may restrain the growth of this market. The increasing spending on the education sector and transnational education (TNE) is expected to create market growth opportunities. However, the shortage of trained professionals to teach English is a major challenge for the players operating in this market.

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Additionally, artificial intelligence (AI) & robot technology and e-learning are major trends in the global English language learning market.

English Language Learning Industry Overview: Latest Developments from Key Industry Players

In November 2023, Babbel (Germany) partnered with the FSC Indigenous Foundation (Panama), a global Indigenous organization working with and for Indigenous peoples worldwide, to offer English lessons to Indigenous Peoples around the world. Babbel will support Indigenous Peoples with the self-paced learning app as well as its live classes with teachers to learn English.In June 2022, Duolingo (U.S.) partnered with HBO Max (U.S.) for an HBO Original series, House of the Dragon. The company launched an updated High Valyrian course, the fictional language spoken in the show, including over 150 new words and more than 700 new sentences.In April 2022, Udemy (U.S.) partnered with WOONGJIN THINKBIG Co Ltd (South Korea), an education company, to expand the company’s global footprint, bringing Udemy and its corporate learning solution, Udemy Business, to more learners, instructors, and organizations in the Korean market.

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The English language learning market is segmented based on methodology (blended learning, offline learning, online learning), learning mode (self-learning apps and applications, tutoring (one-on-one learning, group learning), age group (<18 years, 18–20 years, 21–30 years, 31–40 years, >40 years), end user (individual learners, educational institutes (k-12, higher education), government bodies, corporate learners), and geography. The study also evaluates industry competitors and analyses the market at the regional and country levels.

Based on methodology, the global English language learning market is segmented into blended learning, offline learning, and online learning. In 2024, the blended learning segment is estimated to account for the largest share of the English language learning market. This segment’s large market share is attributed to the increasing need for personalized learning for students, the rising importance of effective learning methodology, the increasing demand for personalized learning, the rise in the adoption of advanced offline & online learning systems for students and working professionals, the ability to manage to learn at individuals’ own pace, and flexibility. However, the online learning segment is projected to register the highest CAGR during the forecast period.

Based on learning mode, the global English language learning market is segmented into self-learning apps and applications and tutoring. The tutoring segment is further segmented into one-on-one learning and group learning. In 2024, the tutoring segment is estimated to account for the largest share of the English language learning market. This segment’s large market share is attributed to the increasing need for personalized and flexible one-to-one language learning experiences, growing investment in e-learning tools and technologies to enhance the teaching experience, and the increasing demand for cost-effective programs to address the knowledge gap in students. However, the self-learning apps and applications segment is projected to register the highest CAGR during the forecast period.

Based on age group, the global English language learning market is segmented into <13 years, 13-17 years, 18- 20 years, 21-30 years, 31-40 years, and >40 years. In 2024, 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. Moreover, the <13 years segment is projected to register the highest CAGR during the forecast period. The integration of immersive technologies like AR/VR to create practical and visually stimulating learning experiences further supports the rapid growth of the <13 years segment in the English language learning market.

Based on end user, the global English language learning market is segmented into individual learners, educational institutes, government bodies, and corporate learners. The educational institutes segment is further segmented into K-12 and higher education. In 2024, the individual learners segment is estimated to account for the largest share of the English language learning market. This segment’s large market share can be attributed to the increasing adoption of smart devices, greater internet penetration, the growing need for live content transmission on the internet to enhance brand engagement and reach students, and the rising number of established language learning platforms.

Based on geography, the English language learning market is segmented into North America, Asia-Pacific, Europe, Latin America, and the Middle East & Africa. In 2024, Asia-Pacific is estimated to account for the largest share of the English language learning market. This region’s large market share is attributed to factors such as the growing need for improved communication across borders, increased access to language learning platforms, rising investments in online language learning start-ups and small companies, and increasing government initiatives aimed at digitizing education. Additionally, rapid growth in internet and smartphone penetration, the rising adoption of AI-based language learning applications, an expanding middle-class population with higher disposable incomes, and the growing emphasis on English proficiency for better employment opportunities in global markets are further driving the region’s growth.

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The report also includes an extensive assessment of the key growth strategies adopted by the leading market participants between 2021 and 2023. The English Language Learning Market is consolidated and dominated by a few major players, namely Cambridge University Press (U.K.), New Oriental Education & Technology Group Inc. (China), Houghton Mifflin Harcourt Company (U.S.), McGraw-Hill Education, Inc. (U.S.), Duolingo Inc. (U.S.), Berlitz Corporation (U.S.), Busuu Ltd (U.K.), Babbel GmbH (Germany), Linguistica 360, Inc. (U.S.), Mondly (Romania), ELSA Corp. (U.S.), FluentU (A part of Enux Education Limited) (China), Memrise Inc. (U.K.), Mango Languages (U.S.), Rosetta Stone Ltd. (A part of IXL Learning, Inc.) (U.S.), Inlingua International Ltd. (Switzerland), Sanako Corporation (Finland), Transparent Language, Inc. (U.S.), and Open Education LLC (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 LearnersGovernment BodiesCorporate LearnersEducational InstitutesK–12Higher Education

English Language Learning Market Assessment—by Geography

North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainRussiaPolandNetherlandsBelgiumSwedenAustriaSwitzerlandFinlandNorwayTurkeyIrelandLuxembourgRest of EuropeAsia-PacificChinaJapanSouth KoreaIndiaIndonesiaAustralia & New ZealandTaiwanHong KongSingaporeMalaysiaVietnamRest of Asia-PacificLatin AmericaBrazilMexicoRest of Latin AmericaMiddle East & AfricaUAESaudi ArabiaRest of Middle East & Africa

Related Reports:

Online Language Learning Market Size, Share, Forecast, & Trends Analysis by Learning Mode (Self-learning Apps & Applications, Tutoring), Age Group, Language (English, Mandarin, Spanish), End User (Individual Learners, Educational Institutions), and Geography – Global Forecast to 2031 – https://www.meticulousresearch.com/product/online-language-learning-market-5025

Online Language Tutoring Market by Learning Mode (One-on-one, Group), Age Group (<18 Years, 18–20 Years), Language, End User (Individual Learners, Educational Institutes, Government Bodies, Corporate Learners), and Geography – Global Forecast to 2030 – https://www.meticulousresearch.com/product/online-language-tutoring-market-5691

Europe Online Language Learning Market, by Learning Mode (Self-learning Apps, Tutoring), Age Group, Language (English, Mandarin, Spanish), End User (Individual Learners, Educational Institutions), and Country – Forecast to 2030 – https://www.meticulousresearch.com/product/europe-online-language-learning-market-5549

North America Online Language Learning Market, by Learning Mode (Self-learning Apps & Applications, Tutoring), Age Group, Language (English, Mandarin, Spanish), End User (Individual Learners, Educational Institutions), and Country – Forecast to 2031 – https://www.meticulousresearch.com/product/north-america-online-language-learning-market-5550

Asia-Pacific Online Language Learning Market, by Learning Mode (Self-learning Apps & Applications, Tutoring), Age Group, Language (English, Mandarin, Spanish), End User (Individual Learners, Educational Institutions), and Country – Forecast to 2030 – https://www.meticulousresearch.com/product/asia-pacific-online-language-learning-market-5541

Language Learning Market by Age Group (<18 years, 18-20 years, 21-30 years, 31-40 years, >40 years), Language (English, Mandarin, Spanish, French, German, Italian, Japanese), End User (B2C, B2B), and Geography – Global Forecast to 2031 – https://www.meticulousresearch.com/product/language-learning-market-5561

Language Learning Apps Market by Offering, Learning Mode (One-on-one, Group), Age Group, Language, End User (Individual Learners, Educational Institutes, Government Bodies, Corporate Learners), and Geography – Global Forecast to 2030 – https://www.meticulousresearch.com/product/language-learning-apps-market-5658

English Language Learning Market Research Summary

Particulars

Details

Number of Pages

291

Format

PDF

Forecast Period

2024–2031

Base Year

2023

CAGR (Value)

10.6 %

Market Size (Value)

USD 91.1 Billion by 2031

Segments Covered

By Methodology

Blended LearningOffline LearningOnline Learning

By Learning Mode

Group LearningSelf-learning Apps and Applications TutoringOne-on-One Learning

By Age Group

<13 Years13-17 Years18-20 years21-30 years31-40 years>40 years

By End User

Individual LearnersGovernment BodiesCorporate LearnersEducational Institutes K-12Higher Education

Countries Covered

North America (U.S., Canada), Europe (Germany, U.K., France, Italy, Spain, Russia, Poland, Netherlands, Belgium, Sweden, Austria, Switzerland, Finland, Norway, Turkey, Ireland, Luxembourg, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, India, Indonesia, Australia & New Zealand, Taiwan, Hongkong, Singapore, Malaysia, Vietnam, Rest of Asia-Pacific), Latin America (Brazil, Mexico, Rest of Latin America), and the Middle East & Africa (UAE, Saudi Arabia, Rest of Middle East & Africa)

Key Companies

Cambridge University Press (U.K.), New Oriental Education & Technology Group Inc. (China), Houghton Mifflin Harcourt Company (U.S.), McGraw-Hill Education, Inc. (U.S.), Duolingo Inc. (U.S.), Berlitz Corporation (U.S.), Busuu Online S.L. (Spain), Babble GMBH (Germany), Linguistica 360, Inc. (U.S.), Mondly (Romania), ELSA Corp. (U.S.), FluentU (A part of Enux Education Limited) (China), Memrise Inc. (U.K.), Mango Languages (U.S.), Rosetta Stone Ltd. (A part of IXL Learning, Inc.) (U.S.), Inlingua International Ltd. (Switzerland), Sanako Corporation (Finland), Transparent Language, Inc. (U.S.), and Open Education LLC (U.S.).

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Raytron Industrial Launches TN660 and TN463 Thermal Cameras for Dynamic Testing and Continuous Condition Monitoring

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YANTAI, China, Oct. 22, 2026 /PRNewswire/ — Raytron Industrial today announced the launch of two new products: the TN660 High Frame Rate Fixed-Mount Thermal Camera and the TN463 Fixed-Mount Thermal Camera. Both offer 640 × 512 imaging with synchronized image and temperature data. The TN660 delivers full-frame 120 Hz acquisition for moving targets and transient thermal processes, while the TN463 provides 60 Hz imaging for routine inline inspection and continuous equipment monitoring.

Full-Resolution Imaging for Different Process Speeds

Featuring a 12 μm uncooled VOx detector, the TN660 achieves 120 Hz at its native resolution without windowing, preserving spatial detail and scene coverage. Frames are approximately 8.33 ms apart, helping engineers examine rapid heating, cooling, and short-duration thermal events in research, industrial automation, and transportation applications.

The TN463 uses the same detector resolution and pixel pitch. Its 60 Hz output supports routine production cycles and long-term temperature trend analysis. To accommodate different installation requirements, the TN463 offers 6.9 mm, 9.1 mm, 19 mm, and 25 mm lenses, while the TN660 is available with 9.1 mm and 25 mm lenses.

From Event-Triggered Capture to Synchronized Analysis

Both cameras support hardware and software triggering to coordinate acquisition with equipment actions. An external signal through the I/O (input/output) interface can initiate capture at a defined process stage. For example, a heat-press start signal can trigger the TN660 to record the thermal sequence, reducing unnecessary recording and review work.

Synchronized output pairs temperature readings with corresponding thermal images. Raytron Industrial’s TI Studio software supports simultaneous preview and analysis of up to four cameras, with temperature and temperature-rise alarms to flag abnormal conditions. Engineers can review recordings, examine and export historical temperature curves, and generate reports, linking equipment events with thermal data for further analysis.

Temperature Measurement and System Integration

Both models measure temperatures from −20°C to 150°C and 100°C to 650°C, with an accuracy of ±2°C or ±2% of the reading, whichever is greater. Ethernet and USB connectivity support data acquisition, while compatibility with industrial protocols such as Modbus TCP allows temperature data to be incorporated into existing control and monitoring systems.

With a choice of 60 Hz and 120 Hz imaging, the TN463 and TN660 allow users to match thermal acquisition to their process requirements, from continuous equipment monitoring to dynamic testing.

For Further Information

Email: sales@raythink-tech.com
Website: https://www.raythink-tech.com/

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4SiGHT Supply Chain Group Welcomes Joanne Strong as Senior Vice President, Delivery Excellence and Innovation

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Industry-recognized WMS leader and AI-driven delivery innovator joins 4SiGHT to lead delivery as one of North America’s largest dedicated Manhattan Active® implementation partners accelerates its growth

WAYNE, N.J., Oct. 22, 2026 /PRNewswire-PRWeb/ — 4SiGHT Supply Chain Group, one of North America’s largest dedicated Manhattan Associates implementation partners, today announced the appointment of Joanne Strong as Senior Vice President of Delivery Excellence and Innovation. Strong joins the executive leadership team and will lead all client delivery across the firm.

4SiGHT has built something rare in its 18 years of operations: deep Manhattan expertise, exceptional talent, industry reputation, singular focus on Manhattan Associates, and a culture that puts client success at the center of everything it does.

The appointment comes during a year of rapid growth for 4SiGHT. Now in its 18th year, the firm has grown to more than 70 full-time associates in 2026 and continues to add Manhattan Active® talent across its warehouse, labor, transportation, and organizational change management practices. Strong’s newly created role is dedicated to ensuring that this growth is matched by an uncompromising standard of quality across every engagement.

“Delivery is our product. Every go-live, every client reference, and every renewal comes down to how well we execute,” said Frank Camean, President and CEO of 4SiGHT. “As 4SiGHT scales, we made a deliberate decision to put a senior executive in charge of one thing: the quality, consistency, and continuous improvement of how we deliver for our clients. Joanne has built and led delivery organizations at real scale, she knows the Manhattan Associates platform from the inside, and she has a proven record of innovation to make implementations faster and more predictable. Joanne is exactly the leader our clients deserve as we enter our next chapter. We are all honored and excited to have her join the team and can’t wait to see what the future brings.”

Strong brings more than a decade of experience with Manhattan Associates and enterprise warehouse management. She most recently served as WMS Practice Lead, directing a multimillion-dollar WMS practice that delivered supply chain transformation programs for Fortune 500 companies in retail, consumer products, and life sciences.

A recognized voice in the supply chain industry, Strong delivered keynote addresses at the 2025 Stratify Executive Forum and at Parcel Forum 2026, has been a featured panelist at MODEX, and has appeared on The New Warehouse and Bloomberg’s Talking Transports podcasts. She holds a B.B.A. in Management Information Systems from the University of Georgia’s Terry College of Business.

“4SiGHT has built something rare in its 18 years of operations: deep Manhattan expertise, exceptional talent, industry reputation, singular focus on Manhattan Associates, and a culture that puts client success at the center of everything it does,” said Strong. “The depth of Manhattan knowledge and real-world implementation experience across the organization is truly unique in the industry. My focus is on elevating an already outstanding client experience by combining that expertise with proven delivery practices, innovative methodologies, implementation accelerators, AI-enabled tools and capabilities. We have an incredible opportunity to help clients achieve faster outcomes, greater confidence in execution, and long-term business value. I’m honored to join the team at such a pivotal moment in its growth and excited for what we will accomplish together.”

About 4SiGHT Supply Chain Group

4SiGHT specializes in supply chain software implementations, with a primary focus on the Manhattan Associates product suite of applications. Our seasoned professionals average more than 19 years of experience helping companies across all industries solve their distribution, fulfillment, and transportation challenges. Together with our strategic partners, our collective team includes more than 100 associates. No other firm in North America brings this depth of Manhattan Active® expertise, and we look forward to expanding our team with additional talent in the months ahead. As a testament to the value our clients place on our expertise, experience, and integrity, 4SiGHT has received multiple industry awards. For more information, please visit 4sight.com or email us at in4mation@4sight.com.

Media Contact

Jenae Cahanes, 4SiGHT Supply Chain Group, 1 9734350025, jenae.cahanes@4sight.com, 4sight.com

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UL Research Institutes Releases New Report Defining Roadmap for Next-Generation Wildfire Risk Intelligence

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New findings identify critical gaps and opportunities in wildfire risk modeling to strengthen community protection

COLUMBIA, Md., Oct. 22, 2026 /PRNewswire/ — As destructive wildfires increasingly threaten communities across the globe, a new report from UL Research Institutes’ Fire Safety Research Institute examines the strengths and limitations of current wildfire risk models and provides a roadmap for more comprehensive wildfire risk intelligence.

“Wildfire Risk Modeling Evaluation Findings and Community Perspectives” details findings from the 2026 Wildfire Risk Modeling Exercise, a first-of-its-kind collaborative effort that evaluated a diverse set of wildfire risk models using common scenarios and datasets. The exercise included approximately 20 organizations across academia, government, national laboratories, nonprofits, and the private sector.

For fire service leaders, emergency managers, and public safety officials, the report provides a practical framework for evaluating which modeling capabilities are best suited to specific community needs and decisions. Applied effectively, these tools can help practitioners identify where risk is greatest, prioritize mitigation investments, strengthen evacuation and preparedness planning, and make more informed decisions before, during, and after a wildfire.

“The Wildfire Risk Modeling Exercise was a convergent test and evaluation of the diverse models available to characterize wildfire risk today. These results revealed broader insights about the state of the science, prioritized gaps, and the investments needed to advance wildfire risk intelligence,” said Rebecca Harned, principal research scientist for Fire Safety Research Institute and the report’s lead author. “The findings provide a critical foundation for shaping the next decade of research, innovation, and operational capability. This report also serves as an important resource for local and state fire service and public safety agencies, providing an evidence-based framework for selecting wildfire risk modeling capabilities and applying them effectively to assess and manage community risk.”

Key Findings From the Wildfire Risk Modeling Exercise

The results from the exercise demonstrate that no single model can capture the full complexity of wildfire risk, nor should one be expected to. Instead, the report identifies an opportunity to build a new generation of wildfire risk intelligence by connecting complementary models, datasets, and scientific approaches. Doing so can help close critical gaps between modeling wildfire hazard and understanding what ultimately matters to communities — which people, property, and assets are at risk, why they are vulnerable, what the consequences could be, and which actions can most effectively reduce those risks.

To realize that vision, the report recommends building an interoperable modeling ecosystem spanning the full wildfire risk assessment pathway, from ignition and landscape fire spread through structure exposure, community impacts, and economic consequences. It also calls for stronger shared core data and standards, improved transparency and explainability, expanded decision-support tools, and greater use of ensemble modeling. Together, these advances could transform wildfire modeling from a collection of specialized capabilities into an integrated risk intelligence framework that better supports decisions before, during, and after wildfire events.

About the Fire Safety Research Institute

UL Research Institutes’ Fire Safety Research Institute advances fire science and fire safety knowledge to reduce risk, save lives, and protect property. We conduct rigorous research, outreach, and education in collaboration with the fire service, fire safety professionals, policymakers, communities, and an international network of partners. Together, we develop tools, resources, and strategies that improve fire safety outcomes worldwide. To learn more, visit fsri.org. Follow Fire Safety Research Institute on Instagram, Facebook, and LinkedIn.

About UL Research Institutes

UL Research Institutes is a nonprofit research organization dedicated to advancing public safety through scientific discovery. Since 1894, our research has advanced our mission toward a safer, more secure, and sustainable future. Focused on global risks from fire mitigation and air quality to safe energy storage and digital privacy, we conduct rigorous independent research, analyze safety data, and partner with experts to uncover and act on existing and emerging risks to human safety. Discover more at UL.org.

About the Exercise

The 2026 Wildfire Risk Modeling Exercise was designed as an open, collaborative and non-competitive effort. Each model submission was evaluated by multiple reviewers through two complementary evaluation streams: science and technical evaluation and user and practitioner evaluation. Participating organizations applied their models to standardized scenarios representing wildland, wildland-urban interface, and urban environments, with results evaluated by scientific experts and operational practitioners. The exercise was designed not to rank models, but to identify their strengths, limitations, and opportunities for integration.

For more information and to read the full report, visit FSRI.org.

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