Market Insights Technology IT Services IT Outsourcing

Application Outsourcing - Lithuania

Lithuania

Revenue in the Application Outsourcing market is projected to reach US$37.59m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.66%, resulting in a market volume of US$40.82m by 2029.
The average Spend per Employee in the Application Outsourcing market is projected to reach US$24.42 in 2024.
In global comparison, most revenue will be generated in the United States (US$42,860.00m in 2024).

Key regions: Brazil, Germany, United Kingdom, Netherlands, China

Market

Region

Region comparison

Currency

Analyst Opinion

The Application Outsourcing market in Lithuania has been steadily growing in recent years, with a number of factors contributing to this trend.

Customer preferences: Lithuania has become an attractive destination for outsourcing due to its highly skilled and affordable workforce. Many companies are choosing to outsource their application development and maintenance needs to Lithuanian firms, who can provide quality services at a lower cost than many other European countries. Additionally, Lithuania's location in the heart of Europe makes it an ideal location for companies looking to expand their presence in the region.

Trends in the market: One of the key trends in the Lithuanian Application Outsourcing market is the increasing focus on innovation and the adoption of new technologies. Many Lithuanian firms are investing heavily in research and development, and are constantly looking for new ways to improve their services and stay ahead of the competition. This has led to the emergence of a number of niche players in the market, who are able to offer highly specialized services to their clients.Another trend that is driving growth in the Lithuanian market is the increasing demand for cloud-based services. As more and more companies move their operations to the cloud, there is a growing need for application outsourcing services that can support these new technologies. Lithuanian firms are well-positioned to capitalize on this trend, as they have the expertise and experience necessary to provide high-quality cloud-based services.

Local special circumstances: One of the unique aspects of the Lithuanian market is the strong emphasis on education and training. The country has a highly educated workforce, with a large number of graduates in fields such as IT, engineering, and mathematics. This has helped to create a highly skilled and technically proficient workforce, which is well-suited to the demands of the Application Outsourcing market.

Underlying macroeconomic factors: The Lithuanian economy has been growing steadily in recent years, driven by a combination of factors including strong exports, low inflation, and a stable political environment. This has created a favorable business climate for companies operating in the country, and has helped to attract a growing number of foreign investors. Additionally, Lithuania's membership in the European Union has helped to facilitate trade and investment with other EU countries, further boosting the country's economic prospects. These underlying macroeconomic factors are likely to continue to support the growth of the Application Outsourcing market in Lithuania in the coming years.

Methodology

Data coverage:

The data encompasses B2G, B2B, and B2C enterprises. Figures are based on enterprises' technology spending on products, consulting, and outsourcing services.

Modeling approach / Market size:

Market sizes are determined through a combined top-down and bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of key players in the industry, Statista's primary research and surveys, and IT associations. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, internet users, and telecommunication. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the exponential trend smoothing method is used based on the market data characteristics. The main drivers are the GDP and its sector composition, internet penetration, the level of digitization, and the attitude toward IT security.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war is considered at a country-specific level.