UNCTAD Digital Economy Report 2025: Promoting Digital Entrepreneurship in Developing Nations

The Digital Economy Landscape for Developing Countries

The United Nations Conference on Trade and Development published its Digital Economy Report 2025 with a focused mandate: examining how digital entrepreneurship can be promoted in developing countries to ensure more equitable participation in the global digital economy. This report arrives at a critical moment when digital technologies — particularly artificial intelligence — are reshaping economic structures at unprecedented speed, creating both transformative opportunities and risks of deepened inequality between nations.

The report documents a paradox at the heart of the digital economy’s relationship with development. Developing countries are increasingly integrated into digital value chains as sources of data, digital labor, and consumer markets. Mobile phone penetration has expanded dramatically, internet access is growing, and digital payment systems are reaching previously unbanked populations. Yet the economic value generated by these digital activities overwhelmingly flows to platform companies, cloud infrastructure providers, and AI developers headquartered in a small number of advanced economies.

This value capture asymmetry represents a new dimension of the development challenge. Unlike earlier phases of economic globalization where developing countries could compete through lower labor costs in manufacturing, the digital economy’s value concentration is driven by network effects, data accumulation advantages, and proprietary AI capabilities that create self-reinforcing market power. The report argues that without deliberate policy intervention, the digital economy risks becoming a mechanism for extracting value from developing countries rather than enabling their economic transformation.

For policymakers, development institutions, and technology leaders seeking to understand these dynamics, UNCTAD’s analysis provides an essential framework. The interactive experience transforms this comprehensive UN report into an accessible format for engaged learning.

Digital Entrepreneurship Ecosystems and Value Creation

The report devotes extensive analysis to the concept of digital entrepreneurship ecosystems — the interconnected networks of entrepreneurs, investors, educational institutions, infrastructure providers, and government agencies that collectively enable digital business creation and growth. Drawing on case studies from diverse development contexts, the report identifies common elements of successful ecosystems while acknowledging that no single model can be transplanted across all contexts.

Successful digital entrepreneurship ecosystems share several characteristics: adequate digital infrastructure (broadband connectivity, affordable data, reliable electricity), a talent pipeline (educational institutions producing graduates with relevant technical and business skills), access to capital (from seed funding through growth financing), supportive regulatory environments (that protect innovation while ensuring consumer protection), and cultural elements (tolerance for failure, entrepreneurial role models, collaborative networks).

The report identifies three tiers of digital entrepreneurship that developing countries can pursue based on their current capabilities. Tier 1 involves leveraging existing global platforms — using services like Shopify, Amazon Marketplace, or Fiverr to access international markets with minimal technology investment. Tier 2 involves building local digital businesses — creating platforms, applications, and services tailored to domestic market needs. Tier 3 involves developing foundational digital technologies — building AI capabilities, cloud infrastructure, and data services that create higher-value economic activities. Most developing countries operate primarily at Tier 1, with the policy challenge being how to facilitate progression toward higher tiers.

Platform Economies: Opportunities and Power Asymmetries

Global digital platforms have become the organizing infrastructure of the digital economy, mediating transactions, information flows, and social interactions at unprecedented scale. For developing countries, these platforms create genuine opportunities: small producers gain access to global markets, service providers can offer skills internationally, and consumers benefit from expanded product availability and price competition.

However, the report documents significant power asymmetries in platform relationships. Platform companies — predominantly headquartered in the United States and China — exercise unilateral governance over the terms of participation, algorithmic visibility, pricing, and data use. Participants from developing countries often have limited ability to influence these governance decisions, creating dependencies where local businesses invest in building platform presence only to find terms changed to their disadvantage.

The report examines several sector-specific dynamics. In agriculture, digital platforms connecting farmers to buyers can reduce intermediary costs and improve price discovery, but the algorithmic systems that determine pricing, quality assessment, and market access may embed biases against smaller-scale producers common in developing countries. In transportation and delivery services, ride-hailing and logistics platforms create employment opportunities but often under precarious conditions with limited worker protections.

Artificial Intelligence and Development Pathways

Artificial intelligence receives the most extensive treatment in the report, reflecting its transformative potential and its risks for developing countries. The report identifies several domains where AI could enable development leapfrogging: agriculture (crop monitoring, pest detection, yield optimization), healthcare (diagnostic assistance, drug discovery, health system optimization), education (personalized learning, language translation, teacher support), and financial services (credit scoring for the unbanked, fraud detection, insurance modeling).

Each domain illustrates the dual nature of AI’s development impact. Agricultural AI models trained on data from advanced-economy farming systems may perform poorly in tropical conditions, with different crop varieties, soil types, and farming practices. Healthcare AI trained on populations with different genetic, nutritional, and environmental profiles may produce less accurate diagnoses in developing-country contexts. These challenges require either local adaptation of global AI models or development of models specifically trained on locally relevant data.

The report introduces the concept of “AI readiness” as a framework for assessing developing countries’ preparedness to benefit from artificial intelligence. AI readiness encompasses data availability and quality, computational infrastructure (access to GPU clusters and cloud computing), human capital (AI researchers, engineers, and practitioners), institutional frameworks (data governance, AI ethics guidelines, intellectual property protection), and market conditions (demand for AI applications, willingness to adopt new technologies).

Data Governance and Digital Sovereignty

Data governance emerges as perhaps the most consequential policy area for developing countries’ digital futures. The report frames data as a strategic resource comparable to natural resources — with the critical difference that data’s value is realized through processing, analysis, and application rather than through extraction alone. Countries that generate data but lack the infrastructure and capabilities to process it locally effectively export raw material while importing finished digital products, mirroring patterns of commodity dependence that have historically constrained development.

The report examines various approaches to data governance being adopted globally: the European Union’s comprehensive regulatory approach (GDPR), the United States’ sector-specific and market-driven approach, and China’s state-directed approach. For developing countries, none of these models may be directly applicable, and the report argues for context-specific frameworks that balance data protection with development objectives, local capacity with global connectivity, and sovereignty with interoperability.

Data localization requirements — rules mandating that certain data be stored or processed within national borders — are examined as both development tools and potential barriers. The report finds that blanket data localization can impose significant costs on businesses and reduce access to global digital services, but targeted requirements for specific data categories (particularly government and health data) can support the development of local data processing capacity and protect sensitive information.

Infrastructure: Connectivity, Cloud, and Data Centers

Digital infrastructure forms the foundation upon which all other digital economy activities depend. The report provides updated assessments of connectivity gaps, finding that while mobile broadband access has expanded dramatically, fixed broadband penetration in least-developed countries remains far below levels in advanced economies. This connectivity gap has direct economic consequences: businesses in developing countries face higher data costs, slower connection speeds, and more frequent service interruptions, reducing their competitiveness in digital markets.

Cloud infrastructure represents an emerging dimension of digital inequality. Hyperscale cloud providers — AWS, Microsoft Azure, Google Cloud, and Alibaba Cloud — are concentrated in North America, Europe, and East Asia, with limited presence in Africa, South Asia, and Latin America. Businesses in these regions face higher latency, higher costs, and reduced access to cloud-based services that are increasingly essential for competitive digital operations.

The report recommends a multi-layered infrastructure strategy: continued investment in mobile broadband as the primary access technology for most users, targeted investment in fixed broadband for business and institutional connectivity, development of regional internet exchange points and data centers to keep locally generated data within the region, and policy frameworks that attract private investment while ensuring affordable access.

Digital Skills and Human Capital Development

Human capital development is perhaps the most critical long-term investment for digital economic participation. The report identifies multiple skill levels needed: basic digital literacy for broad population participation in the digital economy, intermediate technical skills for digital workers and entrepreneurs, advanced technical skills for AI development and digital infrastructure management, and entrepreneurial capabilities that combine technical knowledge with business acumen.

The report documents significant skills gaps at all levels, with the most acute shortages in advanced technical areas. The global competition for AI talent is particularly challenging for developing countries, where trained AI professionals are often recruited by international technology companies or migrate to advanced economies offering higher compensation and better research facilities. The report examines brain drain dynamics and proposes retention strategies including competitive compensation, research funding, and institutional development.

Financing Digital Entrepreneurship in Emerging Markets

Access to finance remains one of the most binding constraints on digital entrepreneurship in developing countries. The report documents a significant “funding gap” between the capital needs of digital startups in developing economies and the available financing. Venture capital, while growing in several emerging market technology hubs, remains concentrated in a few cities (Lagos, Nairobi, Bangalore, São Paulo, Jakarta) and often focuses on business models proven in advanced economies rather than innovations addressing local needs.

The report examines innovative financing mechanisms including impact investment funds focused on digital inclusion, development finance institution programs that de-risk early-stage technology investments, crowdfunding platforms adapted for developing-country contexts, and government-backed venture capital programs. Mobile money systems, particularly M-Pesa and its successors in East Africa, demonstrate how digital financial infrastructure can simultaneously serve as a platform for entrepreneurship and a tool for financial inclusion.

Policy Frameworks for Inclusive Digital Transformation

The report concludes with a comprehensive policy framework organized around four pillars that UNCTAD argues must be addressed holistically for digital entrepreneurship to thrive. Infrastructure: governments must prioritize broadband expansion, data center development, and affordable access as foundational investments. Human capital: education systems must evolve to produce digitally skilled graduates at all levels, from basic literacy to advanced AI engineering. Regulatory frameworks: data governance, e-commerce regulations, digital identity systems, consumer protection, and competition policy must be modernized for the digital economy. Financial ecosystems: venture capital, digital payment systems, and innovative financing mechanisms must be developed to fund digital entrepreneurship.

The report emphasizes that these pillars are interdependent: infrastructure without skills produces unused capacity; skills without capital produce frustrated talent; regulation without enforcement produces paper frameworks. Effective digital development strategy requires coordinated action across all four dimensions, adapted to national contexts and development priorities.

International cooperation features prominently in the recommendations. The report calls for reformed multilateral governance of the digital economy, technology transfer mechanisms that go beyond commercial licensing, development assistance programs focused on digital capacity building, and trade agreements that preserve developing countries’ policy space to implement digital development strategies without facing external constraints that benefit incumbent technology powers.