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E-School Market Size to Grow USD 9204.3 Million by 2030 at a CAGR of 13% | Valuates Reports

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BANGALORE, India, June 14, 2024 /PRNewswire/ — E-School Market is Segmented by Type (For-profit EMO, Non-profit EMO), by Application (Elementary Schools, Middle Schools, High Schools, Adult Education).

The Global E-school market was valued at USD 3846 Million in 2023 and is anticipated to reach USD 9204.3 Million by 2030, witnessing a CAGR of 13.0% during the forecast period 2024-2030.

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Major Factors Driving the Growth of E-School Market:

The COVID-19 epidemic has expedited the widespread use of digital learning systems, which is driving the rapid growth of the e-School Market. There is now more money being invested in e-learning infrastructure and technologies due to the demand for adaptable, accessible educational solutions. To reduce the achievement gap, governments and academic institutions are also supporting online learning and digital literacy. Students may now access online courses more easily because of the widespread use of smart devices and the internet, which has created a global ecosystem for e-learning.

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TRENDS INFLUENCING THE GROWTH OF THE E-SCHOOL MARKET:

By offering specialized educational programs that are specifically designed to meet the needs of middle school students, for-profit Education Management Organizations (EMOs) are a major factor in the expansion of the e-School sector. These EMOs provide comprehensive learning experiences and rigorous academic programs through their well-structured and captivating online curricula, which are created to satisfy both state and federal educational standards. To keep students interested and motivated during the critical middle school years, their systems frequently include interactive components, gamification, and tailored learning paths. For-profit EMOs also make investments in top-notch materials, cutting-edge equipment, and qualified teachers in order to provide better learning results. High-quality education alternatives are provided by addressing the special educational and developmental needs of middle school children, which is driving the growth of the e-School sector.

The e-School market is expanding due to the efforts of non-profit Education Management Organizations (EMOs), that prioritize excellent education, equity, and accessibility for all students, irrespective of their socioeconomic status. These groups frequently use government subsidies and charitable donations to offer inexpensive or even free educational programs, lowering financial obstacles for families. Their primary objective is to produce online curriculum that are inclusive, of superior quality, cater to a wide range of learning requirements, and prioritize social-emotional learning, community participation, and holistic development. Non-profit EMOs increase e-Schools’ attractiveness and reach by supporting educational equity and making investments in cutting-edge instructional strategies and technological advancements. Due to its mission-driven approach, the e-School sector has experienced substantial development, drawing in a diverse variety of students and families who are looking for a meaningful, values-based education.

The e-School business is expanding significantly due in large part to the growing demand for flexible learning options. For many students and working professionals, traditional education institutions can be restrictive because they frequently call for certain schedules and physical presence. A wider range of people, including those juggling job, family, and other responsibilities, can now attend education thanks to e-schools, which provide the freedom to learn at their own speed and on their own time. The ability to reskill or upskill without having to quit their jobs is very enticing to adult learners. Accessing courses at any time and from any location encourages lifelong learning, which enables people to keep learning throughout their lives. One of the main factors propelling the growth of the e-School industry is this shift towards flexible learning alternatives.

Accessibility and affordability are two important reasons propelling the e-School market’s expansion. Considering that there are no costs associated with physical infrastructure, transportation, or printed materials, online education frequently turns out to be more economical than traditional learning. More people can now afford to attend high-quality education because of e-Schools’ ability to provide a wide selection of courses at reduced prices. Furthermore, e-Schools have the ability to reach kids in underprivileged or distant places where there may not be as many traditional educational institutions. e-Schools democratize education by lowering financial and geographic obstacles, giving more people access to educational possibilities. Parents and students are greatly encouraged by the greater accessibility and affordability, which is a major factor in the market’s expansion.

e-Schools’ growing popularity can be attributed in large part to personalized learning experiences. One-size-fits-all teaching methods are frequently used in traditional classrooms, which may not meet the unique needs of every student. On the other hand, e-School platforms may customize instructional materials to each student’s unique learning preferences, pace, and learning style using data analytics and artificial intelligence. By offering materials and learning paths that are specifically tailored to each student, this individualized approach improves retention, motivation, and engagement. By identifying problem areas and providing focused interventions, adaptive learning technology can guarantee a more successful learning process for pupils. Growth in the market is fueled by e-Schools’ capacity to offer customized learning experiences, which appeals to students looking for a more specialized education.

The expansion of the e-School business is significantly influenced by parental support and involvement. e-Schools frequently offer resources and interfaces that let parents get involved in their kids’ education. In order to support their child’s educational journey, parents can access resources, connect with teachers, and keep an eye on their progress. By being more open and involved, parents are able to actively participate in their child’s education and create a positive learning atmosphere at home. The adaptability of e-School programs also enables parents to better balance their obligations to their families with their children’s educational demands. Parents are drawn to online learning due to its convenience and the opportunity to be more active in their child’s education, which is driving the market’s expansion.

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E-SCHOOL MARKET SHARE

Key participants in global virtual schools include Florida Virtual School (FLVS), K12 Inc., and Connections Academy. Over 50% of the world’s top three manufacturers are held by them.

With a market share of around 90%, the United States is the largest market. China and Canada are next, with respective shares of roughly 5%.

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Key Companies

K12 IncConnections AcademyPansophic LearningFlorida Virtual School (FLVS)Charter Schools USALincoln Learning SolutionsInspire Charter SchoolsAbbotsford Virtual SchoolAlaska Virtual SchoolBasehor-Linwood Virtual SchoolAcklam GrangeIllinois Virtual School (IVS)Virtual High School(VHS)Aurora CollegeWey Education Schools TrustN High SchoolBeijing Changping School

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–  The global K12 Education Learning Management market size is projected to reach USD 3691.6 Million by 2028, from USD 1052.5 Million in 2021, at a Compound Annual Growth Rate (CAGR) of 19.4% during 2022-2028.

–  Corporate Learning Management System (LMS) Market

–  Corporate E learning market was valued at USD 22150 Million in 2023 and is anticipated to reach USD 46080 Million by 2030, witnessing a CAGR of 10.9% during the forecast period 2024-2030.

–  Content Authoring Tools Market

–  Cyber School market was valued at USD 3846 Million in 2023 and is anticipated to reach USD 4918 Million by 2030, witnessing a CAGR of 3.5% during the forecast period 2024-2030.

–  Virtual Schools Market revenue was USD 3846 Million in 2022 and is forecast to a readjusted size of USD 9136.6 Million by 2029 with a CAGR of 13.0% during the review period (2023-2029).

–  Education ERP Market

–  The global EdTech market size was valued at USD 85 Billion in 2021, it is expected to reach over 230 Billion U.S. dollars by 2028, growing at a CAGR of 15% during 2022-2028.

–  The global back-to-school market size was valued at USD 66.1 Billion in 2020 and is projected to reach USD 131.1 Billion by 2030, registering a CAGR of 4.8% from 2021 to 2030.

–  The Asia-Pacific back-to-school market size was valued at USD 26.3 Billion in 2020, and is projected to reach USD 58.2 Billion by 2030, registering a CAGR of 6.0% from 2021 to 2030.

–  K-12 School Management System Market

–  The global Learning Management System (LMS) market size is expected to reach USD 40360 Million by 2029, growing at a CAGR of 17.1% from 2023 to 2029.

–  The global K12 Education Technology market was valued at USD 14810 Million in 2023 and is anticipated to reach USD 71820 Million by 2030, witnessing a CAGR of 25.0% during the forecast period 2024-2030.

–  The global market for Online K-12 Education was estimated to be worth USD 7984 Million in 2023 and is forecast to a readjusted size of USD 12930 Million by 2030 with a CAGR of 8.3% during the forecast period 2024-2030.

–  E-Learning VR Market

–  Virtual Classroom market size is projected to reach USD 16020 Million by 2027, from USD 8602.8 Million in 2020, at a CAGR of 9.2% during 2021-2027.

–  The global big data analytics in education market size was valued at USD 13.58 Billion in 2020 and is projected to reach USD 57.14 Billion by 2030 registering a CAGR of 15.3%.

–  Corporate E learning market was valued at USD 22150 Million in 2023 and is anticipated to reach USD 46080 Million by 2030, witnessing a CAGR of 10.9% during the forecast period 2024-2030.

–  K12 Online Tutoring Market

–  K12 Tutoring market size is projected to reach USD 3619.8 Million by 2028, from USD 1052.5 Million in 2021, at a CAGR of 19.0% during 2022-2028.

–  Online Tutoring market is projected to grow from USD 9548 Million in 2024 to USD 23020 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 15.8% during the forecast period.

–  Blended E-learning Market

–  Academic E-Learning Market

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Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

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Video: CNPC offers green chemical answer

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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