Professional training centres on digital skills focusing in the fields of technology and industry, including for women

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Professional training centres on digital skills focusing in the fields of technology and industry, including for women

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.
Technology and Communications
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.
Technology
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).
15% - 20% (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.
Long Term (10+ 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% (CAGR)
Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.
> USD 10 million
Direct Impact
Describes the primary SDG(s) the IOA addresses.
Decent Work and Economic Growth (SDG 8) Industry, Innovation and Infrastructure (SDG 9) Quality Education (SDG 4)
Indirect Impact
Describes the secondary SDG(s) the IOA addresses.
No Poverty (SDG 1) Reduced Inequalities (SDG 10)

Business Model Description

Build and operate training centres and provide professional trainings in digital skills specialized in the field of technology and industry, including for company employees, under a PPP model or with specific governmental support.

Expected Impact

Digital training in the fields of technology and industry will enhance the workforce's competences, the companies' added value while decreasing unemployment.

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.
Region
  • Congo (Republic of): Brazzaville
  • Congo (Republic of): Pointe Noire/Kouilou
  • Congo (Republic of): South Zone
  • Congo (Republic of): Centre Zone
  • Congo (Republic of): North Zone
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Sector Classification

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

Technology and Communications

Development need
Despite growing internet usage, with an increase of 2.4% in early 2025 compared to 2024, 61.6% of the population remained offline and the internet penetration rate was of 38.4%. The current quality and accessibility of technology and communication infrastructure is hindering national competitivity and economic diversification (1, 2, 3).

Policy priority
The NDP(2022-2026) emphasises on the digital economy as a driver of growth. The upcoming Digital Strategy 2030 expands on Congo Digital 2025, aims at transforming the Republic of Congo into a cyber reference for Central Africa by targeting digital innovation, including e-government and e-business, capacity building and increased access to digital services (3, 4, 7).

Gender inequalities and marginalization issues
In the Republic of Congo, the digital gap between men and women is high, with an 80% gender gap in mobile internet access in 2023, especially in rural areas, due to a higher rate of digital illiteracy among women. Women represent less than 30% of employees in the sector (5, 9).

Investment opportunities introduction
The NDP (2022-2026) will allocate 4.03% of the total public investments planned for the digital infrastructure development. In 2023, the interconnection with Central African Republic was inaugurated and a second submarine fibre-optic cable was purchased to improve the speed and stability and become operational in 2025 (3, 6, 10).

Key bottlenecks introduction
Key challenges are a lack of regulation for cybersecurity, including for digital transactions and personal data protection, as well as the absence of a dedicated national regulator. Additionally there is a low national electrification rate (51.3% in 2023, with vast rural-urban disparities), limiting population access to digital services (3, 4, 8).

Sub Sector

Technology

Development need
The internet usage increased of 2.4% in early 2025 compared to 2024, but 61.6% of the population remained offline and the internet penetration rate was of 38.4%. Enhancing the quality and accessibility of the infrastructure is key for economic diversification and competitivity, as well as bridging gaps in digital skills, particularly for industrial SMEs (1, 2, 3, 28).

Policy priority
The NDP (2022-2026) emphasises on the digital economy as a driver of growth. The upcoming Digital Strategy 2030 expands on Congo Digital 2025, aims at transforming the Republic of Congo into a cyber reference for Central Africa by targeting digital innovation, including e-government and e-business, capacity building and increased access to digital services (3, 4, 7).

Gender inequalities and marginalization issues
In the Republic of Congo, the digital gap between men and women is high, with an 80% gender gap in mobile internet access in 2023, especially in rural areas, due to a higher rate of digital illiteracy among women. Women represent less than 30% of employees in the sector (5, 9).

Investment opportunities introduction
The NDP (2022-2026) will allocate 4.03% of the total public investments planned for the digital infrastructure development. In 2023, the interconnection with Central African Republic was inaugurated and a second submarine fibre-optic cable was purchased to improve the speed and stability and become operational in 2025 (3, 6, 10).

Key bottlenecks introduction
Key challenges are a lack of regulation for cybersecurity, including for digital transactions and personal data protection, as well as the absence of a dedicated national regulator. Additionally there is a low national electrification rate (51.3% in 2023, with vast rural-urban disparities), limiting population access to digital services (3, 4, 8).

Industry

Software and IT Services

Pipeline Opportunity

Discover the investment opportunity and its corresponding business model.
Investment Opportunity Area

Professional training centres on digital skills focusing in the fields of technology and industry, including for women

Business Model

Build and operate training centres and provide professional trainings in digital skills specialized in the field of technology and industry, including for company employees, under a PPP model or with specific governmental support.

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%

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

As of 2021, there were 18 operational public and private training providers with an increase from 4 in 2013, with 600 qualified trainees up from 200 (14).

In the Republic of Congo the non-oil sectors including services and education grew by 3.5% annually between 2022-2026 (15).

A survey conducted by the World Bank showed that only 30% of the employees of participant firms had advanced or specialized digital skills (2).

Indicative Return

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

15% - 20%

Based on the Gabon's Skills Development and Employability 2023 project extension, financed by the World Bank through a sovereign loan, the Economic IRR of building specialized training centres is around 16.7%, demonstrating the viability of private investment under a PPP model (16, 17).

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.

Long Term (10+ years)

Based on Gabon's Skills Development and Employability project initial agreement with the World Bank, the loan maturity was 20 years, with a 5 years grace period (18).

Ticket Size

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

> USD 10 million

Market Risks & Scale Obstacles

Capital - CapEx Intensive

High initial investment required for training centres, digital equipment, computers and software. Training providers need substantial upfront capital for facilities, hardware and ICT infrastructure before delivering programs (14, 19).

Capital - Requires Subsidy

Professional training programs are highly dependent on government and donor funding. For example, the PDCE project required USD 32 million investment to train 10,000 youth. Planned expansion for additional 5,000 trainees requires continued external financing (14).

Business - Supply Chain Constraints

Unreliable electricity infrastructure with frequent power outage and poor internet infrastructure affect the quality of training delivery (20, 21).

Impact Case

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

Sustainable Development Need

The current workforce digital skills are not matching those sought by employers and companies. A 2020 survey showed that 51.5% of firms part of the study identified the lack of competencies as a barrier to value creation. The percentage is higher than in neighbouring countries (2, 22).

In the Republic of Congo, there are not enough specialized degree programs in technology or ICT in the higher public education. Additionally, only short term trainings are offered by the private sector (2).

Gender & Marginalisation

In the Republic of Congo, girls' and women's participation in STEM is likely still around the 2017 figure of 20.8%. Domestic duties often hinder their digital learning. In Central Africa, women are 25% less likely than men to gain basic STEM skills (2, 22, 24).

Digital skills are particularly lacking in SMEs, limiting their growth potential (23).

The lack of digital competences is affecting young people particularly, limiting their transition towards the labour market (22).

Expected Development Outcome

Greater private sector involvement in digital skills training, specifically data management, cloud computing and emerging technologies, would contribute to bridge the skill gap between supply and demand (2).

Increased training in the digital field specifically for the industry would enable more digital entrepreneurship and promote increased added value at the national level (4, 25).

Gender & Marginalisation

Provided that programmes specifically target women, digital trainings will enable women to better participate to the digital economy, thus supporting their economic empowerment (27).

By contributing to youth skills development, digital training in the fields of technology and industry will contribute to their employment and better remuneration (3, 22).

Increased technology-related and digital skills among their employees will support the economic growth of SMEs through gains in competitivity, enhanced decision-making and increased resilience (26, 25).

Primary SDGs addressed

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

8.2.1 Annual growth rate of real GDP per employed person

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

8.6.1 Proportion of youth (aged 15–24 years) not in education, employment or training

Current Value

Real GDP per capita grew 2.6% in 2024, marking first increase since 2016 (28).

Youth unemployment reached 40.41% in 2023, with women 31.6% and overall unemployment 19.9% (29).

22.5% in 2017 (31).

Target Value

By 2030, increase by 7% the GDP per inhabitants compared to the 2015 levels of 3.11% (31).

To reach 6.5% in 2026 (3).

13% by 2030 (31).

Industry, Innovation and Infrastructure (SDG 9)
9 - Industry, Innovation and Infrastructure

9.b.1 Proportion of medium and high-tech industry value added in total value added

Quality Education (SDG 4)
4 - Quality Education

4.4.1 Proportion of youth and adults with information and communications technology (ICT) skills, by type of skill

Current Value

18.4% for women and 31.4% for men in 2015 (31).

Target Value

36.8% of women and 62.8% of men by 2030 (31).

Secondary SDGs addressed

No Poverty (SDG 1)
1 - No Poverty
Reduced Inequalities (SDG 10)
10 - Reduced Inequalities

Directly impacted stakeholders

People

People and employees working in the fields of industry or technology benefiting from enhanced skills. People working in the field of training benefiting from increased economic opportunities. Owners of industrial or technology-related companies benefiting from a better qualified workforce.

Gender inequality and/or marginalization

Women, youth and SMEs benefiting from more training opportunities in the field of technology and industry enhancing their skillsets.

Corporates

Companies and SMEs evolving in the sector of technology or industry benefiting from better trained workforce. Companies offering professional trainings benefiting from increased economic activities in their field.

Public sector

Ministry of Industrial Development and Promotion of the Private Sector, Ministry of Technical and Vocational Education, Ministry of Special Economic Zones and Economic Diversification, Ministry of Small and Medium-sized Enterprises, Crafts and the Informal Sector.

Indirectly impacted stakeholders

Planet

The environment can benefit from less damaging industrial activities, thanks to greater adoption of clean technologies induced by enhanced employees skillset.

Corporates

Industrial or digital equipment manufacturers benefiting from enhanced activities due to upskilled workforce able to use the equipment.

Public sector

Ministry for the Promotion of Women, the Integration of Women in Development and the Informal Economy.

Outcome Risks

If trainings are not tailored to companies' needs, there is a risk that they do not benefit from their employees or potential future employees skills acquired, reinforcing the skills mismatch.

Gender inequality and/or marginalization risk: If no targeted programmes are implemented, youth and women might not benefit from increased digital and industrial training options.

Impact Risks

If the price of the training is prohibitive for the companies, a stakeholder participation risk can occur.

Impact Classification

B—Benefit Stakeholders

What

Improved employees skillset contributing to increased value creation and better salaries.

Who

Employees, owners of companies and SMEs, women, youth and people working in the field of technology and the industry.

Risk

Risks linked to the matching of the training and the companies needs, as well as to the price of the training can arise.

Contribution

Contribute to achieving a decrease in unemployment to reach the Government's target of 6.5% in 2026 (3).

How Much

The World Bank-financed PDCE project in Gabon benefited 8,462 youth, among which 47% were women with the construction of new centres (17).

Impact Thesis

Digital training in the fields of technology and industry will enhance the workforce's competences, the companies' added value while decreasing unemployment.

Enabling Environment

Explore policy, regulatory and financial factors relevant for the investment opportunity.

Policy Environment

NDP (2022-2026): highlights the need to increase the learning and training in the digital field, including the development of curriculum, the intensification of the initial education and trainings (3).

Congo Digital 2025: emphasizes on the need to develop digital competences, notably through the reinforcement of competences within companies (4).

National Industrialization Strategy: flags the need to reinforce human capital via more and adapted training, including professional training. It also highlights the need to adopt technologies and to train people to use these technologies (25).

Financial Environment

Financial incentives: The National Employability and Training Support Fund (FONEA) supports financially the training of people seeking employment and the creation of professional training centres, including through the financing of the professional development of the centres' trainers (32).

Fiscal incentives: Educational services including vocational training are VAT-exempt. Companies making investments of social and cultural character (including training infrastructure) may benefit from special fiscal reductions defined by ministerial decree (34).

Regulatory Environment

Decree n°520 of March 1, 2022 setting the conditions for approval of private professional training centres and institutions: establishes the obligation to hold an accreditation in order for a private actor to create a centre or institution, and lists the documents needed to receive one (30).

Marketplace Participants

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Private Sector

C-Tech, Alpha-Omega, IPL, La Congolaise de Formation, Vision Metrik.

Government

Ministry of Technical and Vocational Education, National Employability and Training Support Fund (FONEA),

Multilaterals

World Bank, Agence Française de Développement (AFD), African Development Bank.

Non-Profit

Yékolab, Start Lab, Kosala, PUITS (Programme universitaire d’innovation en technologies et services), Congo France Numérique, PRATIC, PUITS/Osiane, CNEUF, BantuHub.

Public-Private Partnership

The Grande Ecole numerique du Congo, established in 2016 in Brazzaville under a PPP, provides short term and qualifying trainings programs focusing on the digital professions (13).

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

Congo (Republic of): Brazzaville

Brazzaville is the political capital and administrative centre with a population of 2.1 million inhabitants. Digital skills training centre opened at Brazzaville Chamber of Commerce in August 2024, demonstrating the need and momentum for training in digital skills (35).
urban

Congo (Republic of): Pointe Noire/Kouilou

As the country’s economic capital, Pointe-Noire hosts the majority of national enterprises. This concentration creates strong demand for digital skills development and offers significant potential for strategic partnerships and synergies between industry actors and training centres (35).

Congo (Republic of): South Zone

Congo (Republic of): Centre Zone

Congo (Republic of): North Zone

References

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