Investing in EdTech Across Sub-Saharan Africa
February 3, 2026
Leah Eyob, Ronald James-Terry Taylor
The convergence of Sub-Saharan Africa’s population growth, persistent learning gaps, and accelerating labor market transformation is making education a social priority and a core component of economic infrastructure. Africa is home to the world’s youngest and fastest-growing population. The continent’s population has surpassed 1.4 billion, with approximately 70% of the population under the age of 30. By 2050, Africa is projected to account for nearly 40% of the global working-age population and a third of the world’s children living in Africa.
Yet, today, the continent faces one of the most severe learning crises globally; this demographic trajectory places unprecedented pressure on education systems. In sub-Saharan Africa alone, 98 million children are currently out of school – a figure that has increased by 12 million since 2015. Beyond access, learning outcomes remain critically low. Even before the COVID-19 pandemic, 86% of children in sub-Saharan Africa could not read and understand a simple text by age 10, signaling deep challenges in foundational learning. As such, EdTech provides a unique solution due to the increasing need and high impact already proven at scale.
The EdTech Landscape in sub-Saharan Africa
As African economies grow and drive global value chains, the continent’s education lag risks becoming a source of long-term inequality and lost productivity. To mitigate this, a wave of EdTech solutions are emerging to tackle interlinked crises across a variety of issue areas. These include:
● Foundational Learning Platforms: Literacy and numeracy tools for early-grade learners provide foundational skills for all subsequent learning. Mobile-first solutions have gained particular traction due to the growing average mobile penetration at 50% across Africa today.
● Teacher Professional Development: Platforms that support teacher training and continuous professional development are a primary lever for educational improvement. This tackles a significant issue as the continent faces an estimated shortage of 15 million teachers, with fewer than half adequately trained in some regions. High teacher absenteeism – reaching 22% in certain countries – further undermines learning outcomes.
● K-12 and Tertiary Digital Learning: Platforms offering curriculum-aligned content, exam preparation, and tutoring services serve both public schools and direct-to-consumer markets, with commercial viability strong among urban middle-class families.
● Workforce Development and Skills Training: Vocational training platforms addressing youth unemployment have proliferated, particularly in sectors like digital skills, agriculture, and entrepreneurship. These often blend online learning with in-person mentorship and employer partnerships.
● School Management and EdTech Infrastructure: Learning management systems, student information systems, and education finance tools support the operational backbone of schools and education ministries, with COVID-19 accelerating the normalization of digital infrastructure.
Several large-scale implementations demonstrate that EdTech adoption is growing, with investment and innovation concentrated in three leading markets. Nigeria received an estimated $500 million in EdTech funding in 2024. With Africa's largest population, a strong startup ecosystem, and growing mobile-first adoption, Nigeria serves as the primary testing ground for consumer-focused EdTech models. Notable players include uLesson, Tuteria, and Prepclass. South Africa represents a more mature market with well-developed infrastructure and strong corporate upskilling demand. Its EdTech market was valued at $1.12 billion in 2024, with projections to reach $3.06 billion by 2033. Higher internet penetration and established university systems make South Africa attractive for B2B enterprise solutions. Key players include Snapplify, GetSmarter, and Siyavula. Finally, Kenya serves as the regional hub for East Africa, with its EdTech market valued at around $1.2 billion in 2024 and an estimated $300 million in funding received. Government support for digital learning, innovative SMS and low-data solutions, and a strong vocational training focus distinguish Kenya's ecosystem. Companies like Eneza Education, M-Shule, and BRCK Education exemplify Kenya's strength in mobile-first, infrastructure-light solutions.
The Financing Gap
Despite growth, education remains significantly underrepresented in impact investment portfolios relative to sectors such as climate, fintech, and agriculture. In 2024, education received 1.1% of African venture capital, despite education representing a $160+ billion annual market on the continent. By comparison, fintech captured 60% of all African venture capital. African EdTech ventures face several financial barriers to scale. This can be attributed to several factors.
1. The Commercial Viability Challenge: Revenue Models and Market Structure
African EdTech ventures face distinctive commercial constraints. The largest customer segment – public government-funded schools – presents significant barriers through strict budget constraints. Meanwhile, learners who need solutions most urgently cannot afford to pay meaningful amounts, while wealthier market segments remain small on the continent. This creates a "missing middle" dynamic where startups are too commercial for pure grant funding but cannot achieve venture-scale returns through traditional revenue models.
African EdTech ventures typically rely on hybrid revenue models drawn from governments, schools, employers, donors, and households. While this diversification supports resilience and potential scale, it also complicates cash flows and delays revenue predictability. Education businesses operate on academic calendars, face extended procurement cycles with government ministries, and experience delayed payments, particularly when working with public or donor-funded institutions. Revenue concentration during enrollment periods creates working capital pressures that debt financing often exacerbates rather than alleviates.
2. The Growth and Scalability Mismatch
EdTech companies in the region typically require longer horizons to reach profitability due to a variety of factors, such as infrastructure challenges, low-bandwidth solutions, extensive localization needs across multiple languages, and, as mentioned, low average revenue per user. Traditional venture capital timelines expecting 7-10 year fund lives with exponential growth trajectories fundamentally misalign with these realities.
While the FinTech sector expects to demonstrate a CAGR of 32% by 2030, EdTech's more modest 14% CAGR reflects complex challenges. High customer acquisition costs combined with the need to customize solutions for different markets create difficult unit economics. Demonstrating exponential growth and cross-border scalability to venture capitalists requires navigating these timing challenges while proving cross-boundary market conversion potential.
3. The Efficacy Imperative
The necessity for EdTech ventures to demonstrate educational efficacy adds another layer of complexity distinct from other technology sectors. More than 93% of EdTech products in low- and middle-income countries have not been tested for proof-of-learning impact. The Brookings Centre for Universal Education's global catalogue featured 1,640 EdTech solutions worldwide, yet only 11% had been externally evaluated. Without clear, robust efficacy indicators, the disconnect between end-users and purchasers introduces a level of risk that many venture capitalists are hesitant to accept.
This challenge is not unique to Africa, but it is particularly acute given resource constraints. Measuring EdTech efficacy typically requires expensive, resource-intensive research projects without standardized, universally accepted metrics for success.
Investment Implications: Rethinking How Capital Is Deployed
EdTech’s core challenge in sub-Saharan Africa is misalignment between capital structures and the realities of education markets. Education ventures require patient, flexible financing that accommodates long sales cycles, uneven cash flows, and the need to prove learning outcomes before revenue scale. Traditional venture and debt-heavy instruments are poorly suited to these dynamics.
Philanthropic and impact-oriented investors have increasingly stepped in to bridge this gap, recognizing education as foundational economic infrastructure rather than a conventional high-growth tech sector. Catalytic capital – accepting below-market returns in exchange for measurable learning impact – has emerged as a critical enabler. By absorbing early risk, this capital allows EdTech ventures to demonstrate efficacy, refine models, and build the operational maturity required for later-stage investment.
Recent commitments underscore this shift. In 2024, the Gates Foundation expanded its Global Education Program by $240 million to support evidence-based, government-partnered solutions across sub-Saharan Africa and India. This grant funding was earmarked for foundational learning and data systems that support teachers and education ministries, often through co-financing schemes with governments and multilaterals. The program prioritizes scaling rigorously tested digital tools – addressing the lack of proof-of-learning impact – making efficacy a concrete proof point for follow-on financing.
Skoll Foundation has prioritized scaling social enterprises blending technology, community engagement, and rigorous evidence, while Ford Foundation backs organizations at the nexus of education equity, public systems reform, and digital access for marginalized learners. Both have supported adaptive practice tools that measurably reduce early-grade learning poverty. More critically, these grants give EdTech founders breathing room to scale without debt repayment and liquidity pressures, creating investable models for commercial capital.
Although still early, AI is emerging as a cross-cutting capability in African EdTech. Preliminary pilots demonstrate both promise and limitations. AI is being used to generate lesson prompts and automate grading with up to 86% accuracy, enabling teachers to spend more time with students. Rising Academies’ Rori, deployed in various African countries, uses AI via WhatsApp to tutor math. In eight months of weekly Rori use (two 30-minute sessions per week), students saw math learning gains equivalent to an extra year of schooling across multiple grade levels. A $40 million ADQ–Gates partnership announced in December 2025 will scale AI-enabled teacher tools and personalized learning technology across sub-Saharan Africa.
However, significant challenges remain. Structural constraints such as low digital readiness, infrastructure gaps, and uneven teacher capacity mean that AI adoption will be slow and uneven. There is a serious risk of deepening existing inequalities if deployed too quickly or without complementary investments that build technological capacity. Success also hinges on patient capital willing to fund a long R&D curve rather than short-term engagement metrics.
Looking Ahead
Africa’s education sector is approaching an inflection point. Demographic pressure, persistent learning gaps, and accelerating labor market shifts make education central to the continent’s long-term economic trajectory. Evidence demonstrates that scalable impact is already achievable, but it requires capital that is blended and deployed over longer time horizons that match education cycles. When structured this way, early-stage catalytic funding can validate efficacy (including AI-enhanced approaches) and support EdTech ventures in sustainable growth patterns.
Sources:
Dalberg (2024, February). Transforming Classrooms: The Growing Impact of Artificial Intelligence in African Education. Dalberg. https://dalberg.com/our-ideas/transforming-classrooms-the-growing-impact-of-artificial-intelligence-in-african-education/
Dupoux, P., et al. (2025, June 30). Boosting education technology in Africa: Scaling innovation for the future of education. Boston Consulting Group. https://www.bcg.com/ja-jp/publications/2025/morocco-education-tech-africa
Atherton, P., et al. (2026, January 6). The future is Africa: Shaping AI-enabled EdTech for skilling the next generation. World Bank Blogs, World Bank Group. https://blogs.worldbank.org/en/education/the-future-is-africa-shaping-ai-enabled-edtech-for-skilling-the-next-generation
Henkel, O., et al. (2024). Effective and Scalable Math Support: Experimental
Evidence on the Impact of an AI- Math Tutor in Ghana. Springer Nature. https://arxiv.org/pdf/2402.09809
UNESCO Institute for Statistics. (2024). Global Education Monitoring Report: Monitoring SDG 4. UNESCO. https://www.unesco.org/reports/gem-report/en/2024-monitoringsdg4
World Bank. (2023). Ending learning poverty for Africa’s economic and social transformation. World Bank Group.
World Bank. (2024, April 28). What is learning poverty? World Bank. https://www.worldbank.org/en/topic/education/brief/what-is-learning-poverty
Gates Foundation. (2024). Global Education Program: Improving access to foundational learning. Bill & Melinda Gates Foundation. https://www.gatesfoundation.org/our-work/programs/global-growth-and-opportunity/global-education-program
Gates Foundation & ADQ. (2025, December 17). ADQ and Gates Foundation announce partnership to accelerate AI and EdTech adoption. Bill & Melinda Gates Foundation. https://www.gatesfoundation.org/ideas/media-center/press-releases/2025/12/education-systems-partnership
OECD & African Union Commission. (2024). Africa’s Development Dynamics 2024: Skills, Jobs and Productivity. OECD Publishing. https://doi.org/10.1787/df06c7a4-en
Vegas, E., et al. (2019, November 20). How ed‑tech can help leapfrog progress in education. Brookings Institution. https://www.brookings.edu/articles/how-ed-tech-can-help-leapfrog-progress-in-education/
A Primer on Investing in Agriculture-Technology Across Asia
April 8, 2025
Corey Abrams, Tijana Bzenic, Pauline Cho, Ashley Kim
It’s a pertinent time to study the agriculture industry in Asia. Macroeconomic and demographic changes within the continent are directly impacting the ways that food is grown, processed, and consumed on the continent. The impact that these trends will have on Asia’s farmers looks bleak.
On one hand, positive economic drivers are contributing to increasing wealth. The regional comprehensive economic partnership (RCEP) has improved trade within the region. Numerous countries are in “sweet spots” for economic expansion as both their population and consumption grow; 68% of southeast Asia’s population is working age. Finally, countries that do business with China continue to benefit from its growth as companies sprout up to enable new Chinese industries. Wealth increases from these trends are expected push Asia toward a 65% share of the world’s middle class by 2030.
While this wealth should translate to improvements for the citizens of east and southeast Asia, other factors may dampen the impact. As you’ll read below, climate change is dramatically impacting the ability to grow food. More frequent severe weather events partially or fully wipe out crop yields. At a time when additional hands are needed, seemingly fewer young people are staying to help and take over family farms. Finally, a lack of investment in education could make it challenging to bring new innovations to the agricultural space. Pair all of this with the adversity that smallholder farmers face; in many Asian countries, which already struggle with access to services (44% unbanked and the fewest hospital beds) farmers are most often in the poorest class with the least access to these necessities. Critical innovations in technology and business models are needed to help farmers survive this rapidly changing environment.
Challenges in Agrifood
Asia plays a crucial role in global food security, being the largest producer of agricultural and fishery products. The region dominates the production of staple crops such as rice, maize, and wheat while also contributing nearly 40% of global fish output. South and Southeast Asia, in particular, account for 44% of global vegetable oil and 88% of global palm oil production.
Despite its scale, Asia’s food system faces significant vulnerabilities. The region is warming faster than the global average, and the consequences are already observed. In 2023, Japan experienced its hottest summer on record, while India had ~110 deaths due to heatstroke. 2022 floods in Bangladesh that destroyed crops enough to feed 10 million people for a month is just one example of more frequent and extreme weather events. A 2°C rise in temperature could result in agricultural losses of $300 billion in East and Northeast Asia, while Southeast Asia faces projected GDP losses of 7%.
Asia’s high dependence on climate-sensitive crops like rice and wheat, along with dependence on monsoons, makes its agriculture particularly susceptible to heat stress, heavy rainfalls and erratic changes in weather cycle. Low-lying agricultural regions, including Bangladesh, Vietnam’s Mekong Delta, and India’s Sundarbans, are directly exposed to threat of rising sea levels and saltwater intrusion.
High reliance on smallholder farmers further compound risks. ~70% of the region’s food is produced by smallholder farmers with less than 2 hectares of farmland. However, they face multiple challenges that hinder agricultural productivity and threaten their livelihoods. They often lack access to quality inputs such as seeds, fertilizers and irrigation systems and lag in learning new farming technologies. Underlying societal and structural barriers such as limited digital literacy and financial barriers exacerbate these issues. They are also exposed to long and fragmented supply chains, where multiple layers of intermediaries make it difficult for them to find the market and earn a fair return.
As climate change accelerates along with rapid urbanization and socioeconomic changes, addressing these systemic vulnerabilities will be essential to ensuring food security for Asia’s growing population.
High level overview of proposed solutions
The challenges in Asia’s AgriTech sector can be addressed through both high-tech and low-tech solutions, each offering unique benefits depending on the needs of farmers, available infrastructure, and investment feasibility.
High-tech solutions leverage advanced technology such as AI, blockchain, IoT, and precision agriculture to optimize farming efficiency. Precision agriculture, powered by drones, satellite imagery, and AI driven analytics, enables farmers to monitor crop health, optimize irrigation, and reduce input costs. These technologies significantly increase yields and resource efficiency but require high upfront investment and technical expertise, making them less accessible for smallholder farmers. Similarly, blockchain enabled supply chains enhance transparency and food safety by tracking produce from farm to consumer. IoT devices further support logistics and monitoring by automating climate control and reducing waste. However, widespread adoption is constrained by digital infrastructure gaps and cybersecurity concerns.
Low tech solutions focus on business model innovations and accessible financial tools that do not require cutting edge technology but still improve agricultural outcomes. Market access improvements, such as cooperative farming, e-commerce platforms, and contract farming, enable smallholders to sell directly to consumers, reducing dependency on intermediaries and ensuring better pricing. Additionally, microfinance initiatives, including small loans, crop insurance, and alternative lending models, empower farmers to invest in better inputs and expand production without needing sophisticated technology. These approaches require minimal technological infrastructure and can be scaled more easily, though they often rely on government and private sector support for funding and implementations.
By integrating both high tech solutions for long term transformation and low-tech approaches for immediate impact, stakeholders can create a balance strategy to support Asia’s agriculture ecosystem. High tech innovations drive efficiency and scalability, while low tech solutions ensure inclusivity and accessibility, particularly for smallholder farmers in underserved regions.
Sources:
Aggarwal, N., & Bharadwaj, A. (2024, June 24). Why Asia’s time is now: What's fueling Asian growth and what does it mean for the rest of the world? World Economic Forum. https://www.weforum.org/stories/2024/06/why-asia-s-time-is-now-whats-fueling-asian-growth-and-what-does-it-mean-for-the-rest-of-the-world/
Bai, Hui, et al. (2024). Blockchain Revolution in Food Supply Chains: A Positive Impact on Transparency and Traceability. Food Chemistry, vol 446. https://doi.org/10.1016/j.foodchem.2024.137108
Bain & Company. (2022, November). Southeast Asia's pursuit of the emerging markets growth crown. https://www.bain.com/insights/southeast-asias-pursuit-of-the-emerging-markets-growth-crown/
Charts - world trade in agricultural products. (n.d.). Www.wto.org. https://www.wto.org/english/tratop_e/agric_e/ag_imp_exp_charts_e.htm
FAO. (2024). The State of Food and Agriculture 2024 – Value-driven transformation of agrifood systems. FAO. https://doi.org/10.4060/cd2616en
OECD & FAO. (2024). OECD-FAO agricultural outlook 2024–2033. OECD Publishing. https://doi.org/10.1787/4c5d2cfb-en
PricewaterhouseCoopers New Zealand. (2019, November). Accelerating agri-food in Aotearoa: A focus on New Zealand's agri-food sector. https://www.pwc.co.nz/industry-expertise/global-food-supply-and-integrity/afc-report-112019.pdf
Rajalahti, R. (2021). Agricultural innovation in developing East Asia: Productivity, safety, and sustainability. World Bank. https://hdl.handle.net/10986/36690
The Brains Journal. (2025). AI-Powered Precision Farming for Smarter Agriculture. https://thebrainsjournal.com/ai-powered-precision-farming-2025/
WMO. (2024, April 22). Climate change and extreme weather impacts hit Asia hard. World Meteorological Organization. https://wmo.int/news/media-centre/climate-change-and-extreme-weather-impacts-hit-asia-hard
World Economic Forum. (2022, March). Asian Farmers Use Drones and Apps to Beat Labour and Climate Challenges. https://www.weforum.org/stories/2022/03/asian-farmers-drones-apps-labour-climate-challenges/