Training

Immersive Hybrid Learning Centers

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Immersive Hybrid Learning Centers

Country
Sector
Most major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Education
Sub Sector
Most major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Formal Education
Indicative Return
Describes the rate of growth an investment is expected to generate within the IOA. The indicative return is identified for the IOA by establishing its Internal Rate of Return (IRR), Return of Investment (ROI) or Gross Profit Margin (GPM).
5% - 10% (in IRR)
Investment Timeframe
Describes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.
Short Term (0–5 years)
Market Size
Describes the value of potential addressable market of the IOA. The market size is identified for the IOA by establishing the value in USD, identifying the Compound Annual Growth Rate (CAGR) or providing a numeric unit critical to the IOA.
5% - 10% (CAGR)
Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.
< USD 500,000
Direct Impact
Describes the primary SDG(s) the IOA addresses.
Quality Education (SDG 4) Decent Work and Economic Growth (SDG 8) Reduced Inequalities (SDG 10)
Indirect Impact
Describes the secondary SDG(s) the IOA addresses.
No Poverty (SDG 1) Industry, Innovation and Infrastructure (SDG 9)

Business Model Description

Invest in hybrid vocational and higher education centers that integrate local knowledge with technologies such as artificial intelligence (AI), virtual reality (VR) and augmented reality (AR) to the needs of local companies and regions. They lead to internationally recognized certificates. Operators partner with telecommunication firms to provide affordable data packages, while platforms like Moodle and Chamilo enable offline access in low-connectivity or conflict-affected areas. Returns streams include student fees for specialized training programs, upskilling training tailored for local companies, and contracts to digitize existing vocational training centers.

Expected Impact

Increase access to quality practice-oriented training tailored to local needs to improve youth employability, labor productivity, skills and income, fostering the development of creative industries.

How is this information gathered?

Investment opportunities with potential to contribute to sustainable development are based on country-level SDG Investor Maps.

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Country & Regions

Explore the country and target locations of the investment opportunity.
Country
Region
  • Mali: Bamako
  • Mali: Ségou
  • Mali: Sikasso
  • Mali: Mopti
  • Mali: Kayes
Learn more

Sector Classification

Situate the investment opportunity within sustainability focused sector, subsector and industry classifications.
Sector

Education

Development need
Mali's education system struggles with inadequate infrastructure, limited capacity, and insufficient quality teacher training, leading to weak learning outcomes. As a result, children receive only 2.6 years of effective schooling by age 18, half the Sub-Saharan African average, hindering their future earnings and economic prospects (4, 8).

Policy priority
Mali's Vision 2063 targets universal literacy by 2025. The Programme Décennal de Développement de l'Éducation et de la Formation Professionnelle Deuxième Génération 2019-2028 seeks to build a high-performance and inclusive education system that equips citizens with the skills to drive socio-economic development by 2028 (8, 9).

Gender inequalities and marginalization issues
In Mali, 57.1% of the population is not literate, with rural populations (64.3% compared to 41.7% in urban areas) and women (61.3% compared to 52.7% of men) facing greater disadvantages (5).

Investment opportunities introduction
With only 1% of the education budget for investment, 90% of students lacking job-ready skills, and 14.4% youth unemployment, Mali offers strong private investment potential in Technical and Vocational Education and Training (TVET), EdTech, higher education, and teacher training (5, 8, 9).

Key bottlenecks introduction
Insecurity in Northern regions, limited access to quality manuals, limited internet access and telecommunications infrastructure hinder the improvement of educational system in Mali (8).

Sub Sector

Formal Education

Development need
Nearly 300,000 young people enter the job market in Mali each year, 80% of whom are not qualified. The global labor force is also characterized by low literacy rates and low higher education attainment (6, 7).

Policy priority
Plan d'Action de la Réfondation de l'État 2022-2026 promotes the development of technical and vocational training to provide Mali with a skilled and competitive workforce. Priority competencies include agriculture, data science, and artificial intelligence (3).

Gender inequalities and marginalization issues
Only 8% of women over 25 have completed lower secondary education, compared to 15.5% of men over 25. Only 1.5% of Malian achieved higher education and 5.4% achieved secondary education (1, 5).

Investment opportunities introduction
Since 2018, immersive hybrid learning centers have upskilled more than 32,000 Malian youth in artificial intelligence and regenerative infrastructure, among other fields. With Technical and Vocational Education and Training (TVET) demand set to quadruple by 2040, this presents a key opportunity for investors (2, 10).

Key bottlenecks introduction
Limited internet access and low recognition of technical and vocational training certificates by employers and learners may hinder the growth of a robust Technical and Vocational Education and Training (TVET) sector (28).

Pipeline Opportunity

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Investment Opportunity Area

Immersive Hybrid Learning Centers

Business Model

Invest in hybrid vocational and higher education centers that integrate local knowledge with technologies such as artificial intelligence (AI), virtual reality (VR) and augmented reality (AR) to the needs of local companies and regions. They lead to internationally recognized certificates. Operators partner with telecommunication firms to provide affordable data packages, while platforms like Moodle and Chamilo enable offline access in low-connectivity or conflict-affected areas. Returns streams include student fees for specialized training programs, upskilling training tailored for local companies, and contracts to digitize existing vocational training centers.

Business Case

Learn about the investment opportunity’s business metrics and market risks.

Market Size and Environment

CAGR
Describes the historical or expected annual growth of revenues in the IOA market.

5% - 10%

Critical IOA Unit
Describes a complementary market sizing measure exemplifying the opportunities with the IOA.

1.1 million of youth not currently in education, employment or training.

28.3% of youth aged 15 to 24 were not enrolled in school, employed, or attending a training in 2023. This corresponds to about 1.1 million people that could benefit from labor market-tailored vocational training (11, 14).

A 2023 joint report from the World Bank, International Labour Organization, and UNESCO indicates that the number of secondary Technical and Vocational Education and Training (TVET) is expected to more than quadruple in Mali, over the period 2020-2040. This induces a CAGR of 7.69% (2).

Indicative Return

IRR
Describes an expected annual rate of growth of the IOA investment.

5% - 10%

GPM
Describes an expected percentage of revenue (that is actual profit before adjusting for operating cost) from the IOA investment.

> 25%

Consultations with private operators of immersive hybrid learning hubs in Mali, in January 2025, indicate a Gross Profit Margin of over 30% in 3 years (17).

The cost-benefit analysis of a benchmark USD 33 million project that aims to increase the returns to tertiary education in Mali by improving the skills needed by the agriculture, livestock, and mining sectors indicates IRRs of 7.8% and 16.3% for earnings at the individual and public levels (16).

Investment Timeframe

Timeframe
Describes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.

Short Term (0–5 years)

Private operators of hybrid immersive learning hubs in Mali report positive returns within three years (17).

Ticket Size

Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.

< USD 500,000

Market Risks & Scale Obstacles

Business - Supply Chain Constraints

Limited internet adoption and usage may limit new enrolment in immersive hybrid learning, reducing their competitiveness against traditional brick-and-motar TVET centers. Companies that use this business model partner with local telecommunications operators to manage this risk (17).

The training issued certificates by private technical and vocational training centers are not always recognized by employers and public institutions. This could reduce their attractiveness among young people (17).

Impact Case

Read about impact metrics and social and environmental risks of the investment opportunity.

Sustainable Development Need

The share of youth not in education, employment or training rose from 13.5% in 2010 to 29.7% in 2023, with 39.6% of women being affected against 13.7% of men. This translates a high vulnerability, as these youth live below the poverty line and lack the skills to improve their situation (3, 11).

Nearly 300,000 young people enter Mali’s job market each year, 80% of whom lack qualifications. Meanwhile, 85% of existing jobs are already vulnerable, and companies create only 45,000 new vacancies annually (7, 12).

Gender & Marginalisation

In 2023, 61.7% of women in Mali were not literate. Women with low skill levels earned up to eight times less on average than those with higher education levels (5, 21).

Conflict-afflicted Taoudenit (91.4%), Menaka (89.5%), Tombouctou (66.3%), and Mopti (62.3%) had the highest share of population with no education in 2024, compared to the national average of 58.8%. This share is also higher in rural areas (70.3%) compared to urban areas (42.8%) (20).

Although youth unemployment among 15–29-year-olds was only 3.8% in 2022, young people with intermediate (14.3%) and higher (27.3%) education levels faced greater difficulties in finding jobs. Youth in conflict-affected areas and internally displaced persons are at even higher risk (21).

Expected Development Outcome

Immersive hybrid learning centers increase access to quality and practice-oriented education for youth, particularly women, leading to higher labor market participation, reduced poverty, and enhanced economic resilience.

The technological focus of immersive hybrid learning centers enhance labor market competitiveness and foster entrepreneurship and the development of context-specific innovative ventures, reducing employment vulnerability.

Gender & Marginalisation

Immersive hybrid learning centers improve literacy and economic empowerment for women, enabling higher earnings and reducing gender income disparities through targeted skills training in male-dominated fields such as artificial intelligence, engineering, and technology.

The offline contents of immersive hybrid learning trainings expand access to quality education in rural and conflict-affected areas, reducing regional disparities and fostering human capital development.

The practical structure of immersive hybrid learning centers enhance employability among educated youth, particularly in conflict-affected areas, through skills alignment with labor market needs.

Primary SDGs addressed

Quality Education (SDG 4)
4 - Quality Education

4.3.1 Participation rate of youth and adults in formal and non-formal education and training in the previous 12 months, by sex

Current Value

11.2% in 2022; 9.6% for women and 13% for men (19).

Decent Work and Economic Growth (SDG 8)
8 - Decent Work and Economic Growth

8.5.2 Unemployment rate, by sex, age and persons with disabilities

8.3.1 Proportion of informal employment in total employment, by sector and sex

8.5.1 Average hourly earnings of employees, by sex, age, occupation and persons with disabilities

Current Value

5.4% in 2023; 4.2% among men, 7.1% among women, 14.4% among youth aged 15-24, 6.1% among youth aged 25-34, 2.3 among those aged 35-44, and 4% in rural areas (9).

95.4% in 2022, with 94.2% among men and 97.4% among women (21).

In 2020, USD 0.76 on average, with USD 0.81 for men and USD USD 0.61 for women (21).

Target Value

Matrix of Agenda 2063 results at the national level targets 1) a national unemployment rate lower than 6%, 2) a reduction of youth unemployment (aged 15-35) to less than 6%, 3) and a total elimination of unemployment in rural areas by 2063 (9).

Data on specific targets is not available. However in Mali, average hourly earnings double when individuals move from low skills to medium skills and when they upskill from medium skills to high skills. For women, the factors are 6 and 1.5. For men, they are 1.2 and 3 (21).

Reduced Inequalities (SDG 10)
10 - Reduced Inequalities

10.7.3 Number of people who died or disappeared in the process of migration towards an international destination

Current Value

There is no global data available at the country level. 25 migrants died in December 2024 and 9 migrants died in February 2025 (27, 28).

Secondary SDGs addressed

No Poverty (SDG 1)
1 - No Poverty
Industry, Innovation and Infrastructure (SDG 9)
9 - Industry, Innovation and Infrastructure

Directly impacted stakeholders

People

Young people, job seekers, and professionals looking to upskill in agriculture, artificial intelligence, engineering, and technology benefit from the development of technical skills to meet shifting labor market demands.

Gender inequality and/or marginalization

Youth in rural and conflict-afflicted areas benefit from an equal access to education due to digital solutions.

Planet

Digital learning tools enable youth to access training from distance, reducing greenhouse gas emissions from transportation.

Corporates

Telecommunication and internet service providers offering student-friendly data packages benefit from increased demand. Companies in the targeted training fields benefit from an access to a more skilled workforce to upscale their operations.

Public sector

Ministère de l'Éducation et de la Formation Professionnelle reaches its enrolment targets in vocational training. Ministère de l'Enseignement Supérieur et de la Recherche Scientifique benefits from the technical skills required to achieve its digitalization objectives (5).

Indirectly impacted stakeholders

People

In the medium-term, household income increase due to increased job opportunities and improved access to better-paying jobs. Some of the training graduates benefit from launching their own ventures and tech-based businesses.

Gender inequality and/or marginalization

In the medium-term, marginalized youth who are more prone to migrate illegally for financial reasons benefit from increased access to local job opportunities in new ventures, improving their income prospects and poverty status, and preserving their lives.

Planet

Agricultural and green technology curricula may accelerate sustainable agricultural techniques, mitigating pollution and improving land restoration.

Outcome Risks

The development of distance learning requires continuous and extensive access to energy. If the operators of this IOA do not integrate renewable energy solutions, greenhouse gas emissions could increase.

The use of virtual reality (VR) headsets and augmented reality (AR) devices for the training sessions could generate electronic waste, which could increase pollution if not managed.

Impact Risks

If telecommunication partners fail to maintain affordable and stable data access, students may drop out, reducing the expected impact on employability and income.

If some employers favor graduates from conventional universities and vocational training centers over those from hybrid immersive learning centers, the impacts on employability could be reduced.

Learning technologies' reliance on electricity may restrict access for rural populations, further marginalizing disadvantaged groups and limiting opportunities to develop labor skills.

Conflict affected areas may experience limited access to infrastructure required for services.

Impact Classification

B—Benefit Stakeholders

What

Hybrid immersive learning centers improve youth employability, labor productivity, skills and income, and foster the development of creative industries.

Who

Unemployed youth and adults, women, rural populations, and individuals in conflict-afflicted areas are impacted by immersive hybrid learning centers.

Risk

Failure to maintain affordable and stable data access, preference for conventional diplomas, unreliable electricity access, and limited support infrastructure could limit the expected impacts.

Contribution

Immersive hybrid learning centers improve youth employability and income, offering opportunities to those who would otherwise be unemployed or engaged in informal and vulnerable jobs.

How Much

Graduates of Malian hybrid immersive learning centers report income increases of 3 to 8 times their previous levels, with 46% securing training-related opportunities within 18 months (25).

Impact Thesis

Increase access to quality practice-oriented training tailored to local needs to improve youth employability, labor productivity, skills and income, fostering the development of creative industries.

Enabling Environment

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Policy Environment

Plan d'Action de la Refondation de l'État, 2022-2026: prioritizes technical and vocational training to provide the country with a skilled and competitive workforce. Priority competencies include agriculture, data science, and artifical intelligence (3).

Plan d'Actions Prioritaires Budgétisé, 2024-2026: outlines Mali's priority investments in education. The plan indicates a budget of USD 49.6 million for the construction of a virtual university by 2025 and USD 54.6 million to develop numeric tools for the education system from 2025 to 2026 (5).

Programme Décennal de Développement de l'Éducation et de la Formation Professionnelle Deuxième Génération, 2019-2028: targets an increase in the number of learners in initial training at residential technical and vocational training centers to 6,227 per year by 2025 (8).

Financial Environment

Financial incentives: LuxDev partnered with a local blended EdTech in 2023, on a USD 2.29 million project, to digitalize the market gardener, poultry farmer, and food processor trainings of Centre de formation professionnelle de Missabougou in Bamako (23, 24).

Financial incentives: The Agency Fund provided USD 300,000 in grant, in February 2025, to a Malian hybrid immersive learning center that promotes upskilling (26).

Financial incentives: European Union partnered with a local blended EdTech company in Mali, in 2020, to develop digital solutions for Covid-19 response (23).

Fiscal incentives: New investment projects under USD 500,000 benefit from tax exemptions for the first 5 years. Scale-up investments are exempt from import duties, taxes on equipment, IBIC withholding tax, and VAT on technical assistance for two years (33).

Regulatory Environment

Law No 2022-010 on the Orientation of Education, 2022: indicates the target to increase alternative educational strategies, including vocational training, to ensure that all children have access to education, even outside the traditional schooling system (18).

Law N°2016-026 on vocational training, 2016: describes the organization of the vocational training sector in Mali, including the role of private operators, the process to create and issue training attestations and certificates, and the role of Ministère de la Formation Professionelle (31).

Law N° 2023-004 on the territorial collectivities code, 2023: institute town and regional councils to deliberate on the creation and management of vocational training facilities. The town councils are also tasked with identifying the skills relevant for vocational training at the local level (32).

Marketplace Participants

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Private Sector

Université Virtuelle du Mali, Kabakoo Academies.

Government

Ministère de l'Emploi et de la Formation Professionnelle, Ministère de l'Économie Numérique, Ministère de l'Enseignement Supérieur et de la Recherche Scientifique.

Multilaterals

LuxDev Mali, European Union, The Agency Fund, UNESCO, Organisation Internationale de la Francophonie, Chanceaker Foundation, Coopération Suisse, World Bank, Netherlands Cooperation, International Labor Organization.

Non-Profit

Conseils communaux; Conseils régionaux de Ségou, Sikasso, Mopti et Tombouctou.

Target Locations

See what country regions are most suitable for the investment opportunity. All references to Kosovo shall be understood to be in the context of the Security Council Resolution 1244 (1999)
country static map
urban

Mali: Bamako

Bamako hosts two hybrid immersive learning centers. 45% of its labor force either i) did not have a paid employment, but were looking for it, ii) had no salaried job and were not looking for one, or iii) had a part-time paid employment in 2020, and 19% of 25-54 were inactive (17, 23, 29).
urban

Mali: Ségou

Ségou hosts one hybrid immersive learning center since 2022. 45% of its labor force either i) did not have a paid employment, but were looking for it, ii) had no salaried job and were not looking for one, or iii) had a part-time paid employment in 2020, and 40% of 25-54 were inactive (23, 29).
semi-urban

Mali: Sikasso

Sikasso is one of Mali's most important agricultural bassins, making it ideal for tech-oriented trainings that modernize farming techniques. 19% of the workforce were under-utilized in 2020, 11% of 25-54 were inactive, and 24% of 18-35 were neither in employment nor at school (29).
semi-urban

Mali: Mopti

Mopti is an agricultural, fisheries, and livestock hub. It offers a strong potential for Agri-Tech training, as well as the best context for conflict-affected area inclusion for 36% of the workforce that was under-utilized in 2020 and 33% of youth neither in employment nor at school (29, 30).
semi-urban

Mali: Kayes

Kayes is a mining and resource extraction hub ideal for mining, metallurgy engineering, and heavy transportation virtual reality training (17, 30).

References

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