The future of education is being shaped by artificial intelligence, global learning platforms, and the economics of remote instruction. The question is whether technological progress will make education cheaper and cleaner without making access to knowledge more unequal.

From Educational Radio to MOOCs

Educational technology is not a new phenomenon. Radio broadcasts, educational television, and correspondence courses expanded the reach of teaching long before the Internet. UNESCO’s historical accounts trace the use of radio in education to the early twentieth century, while the development of the World Wide Web created new possibilities for distributing educational content at scale.

A landmark in this evolution was MIT OpenCourseWare, announced in 2001, which made course materials freely available online. The emergence of massive open online courses (MOOCs) in the early 2010s, through platforms such as Coursera and edX, took the idea further: learners could access lectures, assignments, and, in some cases, certificates without attending a conventional campus.

The COVID-19 pandemic accelerated this transition. According to UNESCO, disruption affected more than 220 million higher-education students worldwide. Institutions rapidly adopted online and hybrid teaching, often with little time to prepare. The experience demonstrated that digital tools could maintain educational continuity during a crisis, but also exposed weaknesses in digital pedagogy, student engagement and the reliability of technology-dependent learning.

The central question is therefore not whether education can be delivered digitally. It is where digital delivery offers a measurable advantage over conventional teaching.

The Carbon Dividend

One of educational technology’s most consequential potential benefits is environmental: reducing the emissions associated with commuting to educational institutions.

A 2026 life-cycle assessment, Life cycle assessment of university teaching: a comparative analysis of face-to-face, hybrid, and online learning, compared the environmental impact of different teaching formats. For a standard unit comprising ten hours of teaching and fifteen hours of independent study per student, the study estimated emissions of approximately 17.2 kg of CO₂-equivalent for face-to-face instruction, compared with 5.87 kg for fully online learning. Transport accounted for around 85 percent of emissions in the face-to-face scenario.

These findings suggest that online instruction can substantially reduce emissions where it replaces journeys that would otherwise have taken place. It may also reduce travel costs and time for students and educators.

The qualification matters. Digital learning requires electricity, data centres, network infrastructure, and electronic devices. Increased time spent at home can raise household energy consumption, while the manufacture and disposal of computers and smartphones carry their own environmental costs. The net benefit depends on the teaching format, transport patterns, energy sources, equipment use and the extent to which online learning genuinely replaces travel.

The study’s estimates are context-specific rather than universal. Nevertheless, they provide a useful basis for evaluating the environmental case for educational technology: its carbon dividend should be measured across the entire learning process, not assumed merely because a classroom has moved online.

Who Is Building the Next Classroom?

The educational-technology market contains very different businesses, from language-learning applications and online course platforms to digital assessment, school-management systems and enterprise training.

A commercial estimate published by The Business Research Company illustrates the fragmented nature of the educational-technology sector. The report estimates the market shares of individual companies as a proportion of total global educational-technology market revenue, rather than as a proportion of the revenue earned by the leading companies alone. Its market definition is broad, encompassing educational hardware, software, digital content and related services across preschool, school, higher and other education sectors, as well as consumer and business markets. On this basis, the report attributes approximately 0.57 per cent of market revenue to Microsoft Education and 0.46 per cent to Alphabet, while estimating that the ten leading companies collectively account for 3.35 per cent. Udemy is assigned 0.42 per cent, Coursera 0.37 per cent and Pearson 0.28 per cent.

These figures should be interpreted cautiously. The denominator is the report’s estimated global educational-technology market, not a universally agreed measure of the sector. Furthermore, the public summary does not provide sufficient detail to independently reproduce the company-level calculations, particularly where large technology companies operate businesses well beyond education. The percentages are therefore best understood as the report’s commercial estimates, rather than independently verified market shares. They nevertheless illustrate the diversity of the sector and the range of businesses competing within it.

Several companies demonstrate the sector’s different commercial models.

Coursera and Udemy completed their combination in May 2026, bringing together large course catalogues, individual learners and enterprise training. The combined platform reported access to more than 290 million learners, although registered accounts should not be confused with paying customers or active learners. Coursera had reported 197 million registered learners at the end of 2025.

Duolingo represents a different model, using gamification, short lessons and a freemium subscription structure. It reported more than 50 million daily active users and over $1 billion in bookings for 2025. Its expansion into subjects beyond languages reflects the potential to turn a familiar learning application into a broader consumer-education platform.

Pearson, a longstanding educational publisher, is investing in digital learning, artificial intelligence and workforce skills. Meanwhile, companies such as India’s AASOKA and China’s Codemao illustrate how regional businesses are developing products for specific curricula, age groups and learning markets.

Company rankings and market-share estimates are not investment recommendations. They offer a starting point for understanding competition, business models and the direction of the market.

A Pakistani EdTech Lens

Pakistan illustrates both the promise and the limits of educational technology. According to UNICEF Pakistan’s education profile, an estimated 25.1 million children aged 5–16 in Pakistan are out of school, representing approximately 35 per cent of the country’s population in that age group. This is a Pakistan-specific estimate, not a global figure. The scale of the challenge creates a potential role for digital learning, but it also means that technology must be evaluated against the realities of Pakistan’s education system rather than the assumptions of wealthier markets. UNICEF identifies gender disparities, limited public investment and uneven educational outcomes among the barriers to progress.

Pakistan’s EdTech sector has developed several approaches to these challenges. Knowledge Platform provides digital learning solutions and teacher training, while Taleemabad develops curriculum-aligned content and works with schools and government partners. SABAQ has focused on animated, interactive learning materials for primary-school pupils. Nearpeer, meanwhile, has built a presence in examination preparation and professional-entry test preparation. These companies represent different segments of the market: school-based learning, teacher support, foundational education and examination-oriented online courses.

Public-sector partnerships have also played a role. During the COVID-19 pandemic, Pakistan used television and digital channels to continue delivering educational content. A subsequent initiative involving the Ministry of Federal Education and Professional Training and a consortium of local EdTech providers sought to distribute curriculum-aligned material through television and digital platforms. The initiative demonstrated the potential of combining conventional broadcasting with newer learning technologies, particularly when a smartphone or reliable broadband connection cannot be assumed. Knowledge Platform’s account of the initiative.

Pakistan’s experience also suggests that the most useful technology is not necessarily the most sophisticated. Content designed for lower-cost smartphones, available in familiar languages and aligned with the national or provincial curriculum may be more commercially and educationally effective than a product that depends on expensive devices or uninterrupted high-speed connectivity. UNICEF’s Learning Passport initiative, piloted in Sindh with curriculum-aligned material for middle-school pupils, provides another example of digital learning being adapted to local educational requirements. UNICEF, The Digital Transformation of Public Education in Pakistan.

The environmental argument also has a distinctly Pakistani dimension. Remote learning can reduce journeys to schools, colleges and training centres, potentially saving fuel, time and transport expenditure. However, these savings must be weighed against the reliability of electricity, the energy required to operate digital infrastructure, device replacement and the cost of mobile data. Television, downloadable lessons and blended instruction may therefore be more appropriate in some settings than delivery models that depend entirely on continuous online access. The best model will vary by location, household circumstances and the educational task.

The gender dimension requires similar precision. A digital platform does not automatically create equal opportunities simply because its content is available online. Research by UNICEF on South Asia identifies a substantial gender gap in digital participation and skills, including in Pakistan. For educational providers, this makes the design of learning experiences, the usability of devices, the confidence to participate and the ability to make effective use of digital tools relevant considerations alongside basic connectivity. UNICEF, Bridging the Digital Divide in South Asia.

For investors, Pakistan offers a market in which local curriculum knowledge, affordable delivery, institutional partnerships and measurable learning outcomes may be more important than technological novelty alone. Potential opportunities span school-management systems, teacher training, examination preparation, vocational education and professional certification. Yet a large population of potential learners is not equivalent to a large paying market. Household purchasing power, public-sector procurement cycles, customer retention, the cost of producing quality content and the ability to demonstrate improved learning outcomes all affect commercial viability.

Pakistan’s EdTech sector should therefore be assessed not simply by the number of students a platform claims to reach, but by the quality and durability of that reach. The strongest models are likely to combine technology with teachers, locally relevant content and credible evaluation. In this context, digital education is not a substitute for educational institutions; it is a means of improving how those institutions deliver teaching, measure progress and use scarce resources.

Emerging Technologies That Matter

The next phase of educational technology is likely to be shaped by artificial intelligence, adaptive learning, automated assessment, virtual simulations and tools that reduce administrative workloads.

AI tutors may offer personalised explanations and practice exercises. Adaptive systems can adjust the difficulty or sequence of learning materials, while simulations may help students practise tasks that are expensive, dangerous or impractical to reproduce in a conventional classroom. Automated tools can also assist educators with routine work, potentially leaving more time for direct engagement with students.

However, personalisation is not the same as educational effectiveness. Systems can generate inaccurate explanations, reproduce biases in training data or encourage learners to accept automated feedback uncritically. A 2025 systematic review of 104 studies on AI in classroom management raised concerns about the limited treatment of ethical issues, privacy protections and the use of video data.

The platforms through which students learn also deserve scrutiny. Research published in 2024 on Google Classroom raised questions about children’s privacy, data protection and the wider implications of the platform’s role in schools. In June 2024, the privacy advocacy organisation NOYB filed complaints in Austria concerning Microsoft 365 Education, alleging problems with the handling of student data and tracking. These were allegations in complaints, not final findings that every allegation had been legally established.

The broader issue is that educational platforms do not simply transmit knowledge. Their algorithms, data practices and interface design can influence what learners see, how their progress is measured and which behaviours are encouraged. Schools and universities therefore need clear rules for data collection, independent scrutiny and human oversight of consequential decisions.

Where Should Investment Go?

For investors, educational technology is not a single market. It includes publicly traded companies with established revenue streams, private companies developing regional learning platforms, specialist firms offering digital assessment and workforce training, and newer businesses building products around artificial intelligence. Their commercial prospects depend on different factors: whether learners or institutions pay, whether customers renew subscriptions, whether the company can demonstrate improved learning outcomes, and whether revenue growth can be converted into sustainable cash flow.

Private Chinese, Indian, European and Middle Eastern EdTech companies may provide exposure to markets and business models that are not well represented by the largest US-listed firms. For example, a company might specialise in examination preparation, language learning, school-management software, vocational training or locally aligned curricula. Geographic diversification means spreading investments across markets whose customers, economic conditions and education systems may develop differently. It can reduce dependence on a single country or customer base, but it does not eliminate investment risk.

Private-company investments require particular caution because financial information may be limited, valuations may be difficult to verify, and shares can be harder to sell than publicly traded stocks. Investors also need to consider local regulation, currency movements, government procurement, data-protection rules, competition and the ability of a company to convert users into paying customers. A large user base alone does not establish profitability. A practical assessment should therefore examine revenue quality, customer retention, operating costs, cash flow, valuation and evidence that the technology delivers educational value. For public-market investors, listed companies such as Coursera, Duolingo, Pearson, Microsoft and Alphabet offer different degrees of exposure to education technology; they should not be treated as interchangeable investments, since education represents a different proportion of each company’s overall business.

Artificial intelligence adds another investment consideration. A growing market does not guarantee that every AI-based educational product will be commercially viable. Investors should distinguish between products that demonstrate measurable learning improvements and those that mainly repackage existing content behind an AI interface. The durability of demand, the cost of acquiring customers, the ability to retain subscribers and the quality of the underlying educational content will remain important.

The Gender Divide

The gender question is not simply whether more people can get online; it is whether those using educational technology can use it with comparable competence and influence. The International Telecommunication Union’s Facts and Figures 2024 estimated that 70 per cent of men worldwide used the Internet, compared with 65 per cent of women—a five-percentage-point gap, equivalent to 189 million more men than women online. A separate UNICEF analysis across 32 countries and territories found that, for every 100 male young people with digital skills, only 65 female young people had them. These findings concern different measures and populations, but together they show that connectivity and digital capability are not the same thing.

For women using online learning platforms, the practical issue can extend beyond owning a device or having an Internet connection. The ability to use advanced features, assess information, participate confidently in platform-based groups and challenge an automated outcome may determine how much benefit a learner receives. Educational technology can create opportunities for women, but it does not automatically eliminate differences in digital competence, bargaining power or influence.

The implication is not that every educational service must be universally available regardless of cost or purpose. Rather, institutions and investors should understand who is able to use a product effectively, what capabilities it requires and whether its design unintentionally disadvantages particular groups of learners.

Conclusion

Educational technology should be judged by evidence rather than novelty. Its strongest potential environmental case is the reduction of commuting-related emissions, provided that savings exceed the additional energy and material costs of digital delivery. Its commercial future will depend on viable business models, demonstrated educational value and responsible use of data and artificial intelligence.

Online platforms can extend the reach of teaching, support flexible learning and create new markets. They cannot, by themselves, guarantee effective learning, equitable participation or environmental sustainability. The next classroom will be shaped not simply by the technology available, but by how intelligently it is selected, evaluated and governed.