The Digital Transformation of Financial Services: Evolution and Competitiveness of Bulgaria’s Emerging Fintech Cluster

Deyan Radev & Georgi Penev, Book chapter in Beyond Innovation Hotspots: Clusters for Competitiveness and Transformation in Real Regions (Edward Elgar Publishing), 2024 (Indexed in Scopus)

Cite as: Radev, D. and G. Penev, 2024, “The Digital Transformation of Financial Services: Evolution and Competitiveness of Bulgaria’s Emerging Fintech Cluster“, pp.: 34-58, in: Beyond Innovation Hotspots: Clusters for Competitiveness and Transformation in Real Regions, Eds. Beck, R., Fornahl, D., Ketels, C., Kiese, M., https://doi.org/10.4337/9781035315611.00009.

Bulgaria’s fintech success story is often told as a recent “startup boom.” This chapter shows it’s deeper – and more strategic – than that. Bulgaria’s digital finance capabilities have roots decades earlier, and the country’s competitiveness today depends not only on technology and entrepreneurship, but also on institutions, skills, regulation, and the ability of the public sector to keep pace.

A longer history than most people assume

The chapter traces Bulgaria’s digital finance trajectory back to the Communist era, when early computing was introduced in the banking sector to improve the operations of the Bulgarian National Bank (BNB) and state-owned commercial banks. One striking historical detail is that as early as 1968, a dedicated data-processing center was established within the BNB administration, and computing capacity was installed to modernize banking operations.

After 1989–1990, the system transformed under market conditions: financial services broadened dramatically, private actors entered, and technology shifted from a state-led efficiency tool to a driver of competition and wider access to banking services.

The cluster view: fintech is an ecosystem, not a list of startups

A central contribution of the chapter is a conceptual framework for analyzing a fintech cluster, not just individual companies. The authors use a “cluster” lens (in the sense of interconnected firms, suppliers, institutions, and talent in a concentrated geography) and organize the ecosystem through the Quadruple Helix model:

• Private sector (fintech firms, banks, service providers, investors)
• Public sector (government, regulators, municipal initiatives)
• Academia (universities and research capacity)
• Civil society (users, media, NGOs, financial literacy communities)

This framework matters because competitiveness is often determined by the quality of linkages between these actors – not only by how many startups exist.

The chapter also underlines a geographic fact: Bulgaria’s fintech cluster is highly concentrated in Sofia, which hosts roughly 85% of fintech firms and key supporting actors, alongside regulators and central institutions. This concentration brings network benefits (talent, infrastructure, proximity to decision-makers), but it also raises the question of how to connect the “Sofia core” to talent and entrepreneurial activity in other cities.

What accelerated the sector: crisis, then Brexit

Empirically, the chapter identifies two catalysts that increased momentum:

1. The Global Financial Crisis – a turning point that reshaped regulation, innovation, and demand for new financial solutions.
2. Brexit – a shock that coincided with a sharp acceleration in Bulgaria’s fintech formation.

A key data point: around 50% of Bulgarian fintech startups were founded after 2016. Importantly, the chapter notes that this growth happened during a period of limited venture capital funding, forcing companies to compete harder on fundamentals and business discipline rather than relying on abundant capital.

Competitiveness: strong performance, but two binding constraints

Overall, the chapter’s diagnosis is optimistic: Bulgaria’s digital finance cluster performs well and is integrated into global fintech know-how flows. It benefits from:

• active private-sector players,
• a growing supporting industry (legal, consulting, service providers),
• and universities that are increasingly aligning programs with market demand.

But the chapter highlights two bottlenecks that can become binding constraints:

1. Talent growth is slower than sector growth. Qualified labor supply is not expanding fast enough relative to the pace of fintech expansion.
2. Public administration and regulators are not moving fast enough. The chapter is explicit that dynamic public-sector support lags: sandboxes and innovation hubs exist in some form, but they are not a full substitute for a regulator-led fintech sandbox, and the main regulator (notably the BNB) is described as lagging the pace of innovation.

Policy recommendations: modernize the enabling environment

The recommendations focus heavily on improving public-sector capacity:

• Educate public administration on fintech benefits and risks.
• Increase public–private collaboration on innovation projects.
• Build stronger innovation hubs and credible regulatory sandboxes with meaningful regulator involvement.
• Use academia not only for talent pipelines, but also for evidence-based cluster development – including training for regulators and public administrators.

The chapter points to the strategic role of research capacity and highlights institutional initiatives such as the CEE Centre for Digital Finance (a cooperation between the Bulgarian Fintech Association and FEBA at Sofia University) as a platform to convert Bulgaria’s real-world fintech experience and data into research, advisory capacity, and international visibility.

Why this matters for Bulgaria / CEE

This chapter is not only about Bulgaria – it’s a template for how CEE economies can compete in digital finance.

1. A realistic competitiveness strategy for a small economy
   Bulgaria cannot “outspend” larger ecosystems, but it can compete by organizing a high-performing cluster – tight connections between firms, universities, regulators, and supporting industries. That is directly relevant to many CEE countries with similar scale and institutional constraints.
2. Talent is the decisive growth constraint in CEE
   CEE fintech growth is increasingly limited not by ideas, but by the availability of skilled labor (data, AI, product, compliance, cybersecurity). If the skills pipeline doesn’t accelerate, growth will plateau or relocate.
3. Regulatory capacity becomes an economic advantage
   The chapter’s message is that slow public-sector digital transformation is not just an administrative problem – it is a competitiveness problem. Countries in CEE that develop credible sandboxes, innovation-friendly supervision, and fast digital public services will attract more fintech activity and higher-value jobs.
4. Bulgaria’s role in regional cluster-building
   With a concentrated hub in Sofia, a functioning cluster organization (BFA), and expanding academic capacity, Bulgaria has the building blocks to position itself as a CEE digital finance node – but only if public institutions modernize at the same speed as the private sector.