Azerbaijan has released a comprehensive 2026-2029 strategy detailing how it intends to accelerate the development of its digital economy, expand data-driven governance, and reduce long-term dependence on the oil and gas sector. 

The strategic narrative positions digital transformation as a foundational pillar for Azerbaijan’s longer-term economic diversification. It also signals Baku’s intention to position itself as both a physical and digital transit hub linking Europe and Asia

The document sets out more than a dozen institutional reforms and investment programmes covering cloud infrastructure, data analytics, artificial intelligence, broadband access, cybersecurity, digital public services and industrial digitalisation. The scale of the plan positions digital transformation as a primary non-oil growth engine for the next decade, according to the text of the strategy.

The strategy comes at a time when Azerbaijan faces weakening foreign investment inflows, increasing competition among transit economies along the Middle Corridor, and the challenge of generating sustained productivity gains in the non-oil sector. The government argues that digitalisation is now critical both for efficiency and for improving institutional capacity. 

The policy framework, signed under the wider 2022-2026 socio-economic development agenda, builds on measures introduced earlier, including the creation of the Government Cloud, expansion of digital public services and the rollout of support hubs for small and medium-sized enterprises.

The digital economy currently accounts for 2.8% of Azerbaijan’s non-oil GDP, and about 2% of all service-sector employment, while telecoms and ICT services make up 1.7% of non-oil services exports. Internet penetration exceeds 88%, providing a large consumer base for digital services.

The strategy notes that Azerbaijan has already established a baseline institutional architecture for digital transformation, including national cloud infrastructure, unified state information systems and improved broadband penetration under the Online Azerbaijan programme. These steps created the foundation for expanding public e-services and consolidating state datasets.

However, the government identifies several structural weaknesses. These include insufficient high-level data analytics capacity, inconsistent data quality, shortages of qualified personnel in digital fields, uneven enterprise-level adoption of technology and limited interoperability among information systems. The document underlines the need to strengthen investment mechanisms such as state-private partnerships and more effective foreign capital mobilisation.

A detailed SWOT analysis highlights that Azerbaijan’s geographical location along the Middle Corridor and its expanding Alat Port give it strong long-term potential for digital logistics and international data routes. But reliance on legacy systems, gaps in cybersecurity and underdeveloped digital skills remain structural obstacles.

A major part of the strategy focuses on deepening broadband access, modernising the Government Cloud, expanding national data centres and ensuring secure, integrated state information systems. High-speed GPON and FTTH technologies are singled out as essential to strengthening digital infrastructure and enabling broad-based adoption of digital public services. The government portrays low-cost ICT services relative to income levels as an advantage in driving faster inclusion.

The plan includes new investments in cross-border digital connectivity to strengthen Azerbaijan’s role as a transit country for both physical goods and digital traffic. The text references opportunities linked to the expansion of Alat Port and Middle Corridor transport flows, particularly in digital logistics and cross-border data exchange.

The Ministry of Economy is mandated to lead the creation of a unified Digital Solutions and Services Platform between 2026 and 2029. This platform will register digital solution providers and support companies transitioning to technology-enabled operations. The target is for 20% of enterprises using the platform to have completed their digital transformation by the end of the programme period.

A dedicated Digital Economy Support Programme will expand grant and concessional loan schemes for small and medium-sized enterprises. The government draws on Singapore’s Go Digital model, which successfully digitalised 18,000 SMEs and lifted productivity by 3%. Officials expect similar productivity effects in Azerbaijan as adoption accelerates.

A New Generation Technologies Centre will provide “learn and transform” training for enterprises, using reference models from Turkey’s MEXT centre and Singapore’s Digital Capability Centre. Expected productivity improvements range from 15% to 30% at the firm level and up to 30% across targeted sectors.

The strategy calls for expanded mechanisms to support startups, including financing instruments, innovation grants, and technical assistance. It also references international experience in digital entrepreneurship ecosystems, though specific Azerbaijani targets appear in later operational documents rather than the core strategy.

Azerbaijan also plans to introduce special regulatory frameworks in territories recently recovered from Armenian control and the Nakhchivan exclave, aiming to increase the share of digital economic activity in these regions by at least 20% by 2029. At least 50 enterprises are expected to operate within these digital frameworks.

Strengthening data quality, interoperability and analytical capacity is described as essential to the strategy. A new Economic Data Analytics System will integrate five major databases in its initial stage. At least 10 socio-economic datasets and five analytical tools will support data-driven policy-making, with ministries tasked to prepare six analytical reports annually.

The government highlights risks including poor data quality and shortages of advanced analytical personnel. To mitigate these risks, it plans unified data standards, continuous training programmes and state–private technology partnerships.

A dedicated methodology will be created to measure the digital economy’s contribution to non-oil growth. Annual reports will evaluate the economic impact of the strategy and provide policy recommendations.

The Ministry of Economy will oversee development of a generative Azerbaijani-language AI model based on a new local digital corpus. The pilot system is expected to be deployed in at least one government institution by 2029, with usage to expand across state bodies in subsequent years.

The initiative includes collecting local domain-specific datasets and developing training algorithms, with the objective of integrating the model into economic-sector platforms within the government’s wider digital ecosystem.

The strategy commits to deploying digital twin technologies in economic planning, infrastructure management and environmental monitoring. International examples referenced include Singapore, Belgium and the UAE, where digital twin adoption has reduced operating costs and optimised resource use.

Azerbaijan intends to implement two pilot digital twin models in a selected economic sector by 2029, scaling to four nationwide by the end of the strategy period. These twins will support scenario modelling, risk forecasting and improved operational management.

The plan will be funded through the state budget, extra-budgetary funds, the Azerbaijan Business Development Fund, private-sector resources, foreign investment, credit lines and grants. State institutions will form dedicated working groups for each major initiative. The document emphasises that successful execution depends on institutional coordination, continuous monitoring, public involvement, and adaptation of global best practices.

By 2029 the government expects measurable gains in non-oil innovation capacity, enterprise-level productivity, public-sector efficiency and digital inclusion. The introduction of digital twins, cloud consolidation, AI tools and improved data governance is intended to support new decision-making models and reduce overall administrative costs.