Givi Lemonjava

The University of Georgia
Associate Professor
Tbilisi, Georgia
givi_lemonjava@yahoo.com

 

Digital Ecosystems in Georgia’s Economy

Abstract

The term “digital ecosystem” refers to the full range of IT tools and services that facilitate the functioning of businesses. In other words, a digital ecosystem is a set of interconnected information technology resources that operate as an integrated whole and bring together devices and platforms, data, applications, and service providers.

The interaction of these components enables the optimization of data flows and business processes. Data ecosystems generate value and create new services, thereby increasing the efficiency and profitability of their participants.

Today, numerous types of digital ecosystems exist, and many businesses offer their own ecosystems, such as Apple. A digital ecosystem is a network comprising platforms, users, suppliers, data, services and applications, as well as governance mechanisms and rules. Their interaction is enabled by technology. Prominent examples include:

• Amazon’s ecosystem — e-commerce, cloud services, and logistics;
• Apple’s ecosystem — devices, applications, and services.

The principal components of a digital ecosystem are as follows: the platform, which functions as the “brain” of the digital ecosystem by creating the infrastructure and operational rules and connecting all participants. Platforms rely on API infrastructure to ensure the seamless functioning of applications; the user layer, comprising customers, businesses, and citizens who receive services and generate data; the supply side (producers and partners), including developers, merchants, and service providers, who create products and services on the platform for subsequent delivery to users; the data layer, where information on ongoing activities is collected and processed; services and applications, representing products delivered to users and including payments, e-commerce, streaming, and fintech; the infrastructure layer, comprising cloud services, networks, and data storage facilities; and finally, governance and rules, including policies, pricing, security, and regulation.

Georgia’s digital ecosystem is currently in an active phase of development. Nevertheless, in this respect the country still lags considerably behind such successful examples as Estonia, Singapore, and others. Several parallel digital ecosystems are currently being developed and are gradually becoming integrated with one another. One of the largest is TNET, which specializes in e-commerce, mobility, finance, and real estate. Headquartered in Tbilisi and majority-owned by TBC Bank Group, it is one of Georgia’s largest digital ecosystems, bringing together multiple platforms that support consumer and business transactions across key sectors of the national economy. It serves up to two million users and includes Mymarket (e-commerce), Myauto (automobiles), Myhome (real estate), and TKT (tickets and events). The integration of these platforms enables customers to buy, sell, and identify the services they require.

Banking ecosystems encompass payments, e-commerce, and lifestyle applications. Thus, banks such as TBC Bank and Bank of Georgia are gradually evolving into platform-based digital ecosystem companies. Georgia’s e-commerce ecosystem, however, remains relatively underdeveloped: the share of online sales is still low and the system is not yet fully integrated. The development of the much-needed Digital Village platform, intended to connect farmers, investors, and landowners, is also still at an early stage.

Digital ecosystems have substantial development potential in Georgia. If this potential is fully realized, they could have a significant impact on the Georgian economy and become a powerful driver of economic growth. The feasibility of this prospect is illustrated by a Python-based economic growth model incorporating the following components: e-commerce, whose share in Georgia’s economy already amounts to 10%, with annual growth of 15%; the IT sector, accounting for 5% of the economy and growing at 10%; and efficiency gains based on fintech, estimated at 1%. On the basis of these assumptions, the model projects the following dynamics of Georgia’s GDP growth:

 

As the table indicates, annual real economic growth is projected at 7%. The comprehensive development of a digital ecosystem would require substantial investment—approximately USD 3 billion. If allocated effectively, this investment could generate an internal rate of return (IRR) of 18–22%, as demonstrated by a Monte Carlo IRR simulation implemented in Python.

The results could be even more substantial if an artificial intelligence ecosystem were integrated into the broader digital ecosystem. AI represents one of the most powerful potential drivers of future economic growth and could significantly enhance Georgia’s growth prospects. It increases productivity, reduces costs, and creates new markets. Its integration would therefore substantially improve the efficiency of the overall system and expand the number of users.

In broader terms, this represents a path toward a knowledge-based economic model, in which knowledge becomes the principal resource, innovation serves as the engine of growth, and education is regarded as an investment rather than an expenditure. Georgia’s AI infrastructure nevertheless remains relatively weak, characterized by the use of small-scale AI platforms and a number of small, mutually isolated data centers.

Keywords

digital ecosystem; digital ecosystem platforms; artificial intelligence; artificial intelligence ecosystem; GDP/IRR Monte Carlo simulation.