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Machine Learning - Serbia

Serbia
  • The market size in the Machine Learning market is projected to reach US$52.72m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 36.08%, resulting in a market volume of US$334.70m by 2030.
  • In global comparison, the largest market size will be United States (US$21.14bn in 2024).

Definition:
Machine learning is a branch of artificial intelligence that involves the use of algorithms and statistical models to enable computer systems to learn from data and improve their performance on a task. It has a wide range of applications, including image and speech recognition, natural language processing, and predictive analytics. The Machine Learning market includes software platforms, tools, and services that enable organizations to develop and deploy machine learning applications.

Additional Information:

The Machine Learning market comprises two key performance indicators: market sizes, and market sizes by industry. Market sizes are generated by the funding amount of Artificial Intelligence (AI) companies. Key players of the market include companies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

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In-Scope

  • Supervised learning applications that require training data, such as image classification
  • Unsupervised learning applications that do not need training data, such as clustering and anomaly detection
  • Reinforcement learning applications that involve learning through trial and error, such as game playing, robotics, and autonomous driving.

Out-Of-Scope

  • Traditional programming tools, such as rule-based systems and algorithmic programming
  • Statistical analysis tools, such as regression analysis and hypothesis testing
  • Non-technical applications, such as financial analysis and business management.
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Study Details

    Value

    Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

    Most recent update: Mar 2024

    Market Size

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Analyst Opinion

    The Machine Learning market in the Artificial Intelligence market in Serbia is witnessing exceptional growth, fueled by factors such as the rapid adoption of digital technologies, increasing focus on health and wellness among consumers, and the convenience of online health services. This extraordinary growth rate is largely influenced by the government's initiatives to promote AI and machine learning in various industries, as well as the growing demand for advanced healthcare solutions.

    Customer preferences:
    As technology continues to advance, consumers in Serbia are increasingly turning to machine learning solutions to enhance their daily lives. This includes the use of AI-powered virtual assistants for tasks such as scheduling and organization, as well as the adoption of smart home devices for greater efficiency and convenience. Additionally, with the rise of e-commerce and online shopping, there is a growing demand for personalized recommendations powered by machine learning algorithms. This trend is driven by the desire for more efficient and personalized experiences, reflecting a shift towards a more tech-savvy and digitally-driven society.

    Trends in the market:
    In Serbia, the Machine Learning market within the Artificial Intelligence market is seeing a surge in demand for predictive analytics, natural language processing, and deep learning applications. This trend is being driven by the increasing adoption of AI-powered technologies in various industries, including finance, healthcare, and manufacturing. This trajectory is expected to continue, with the potential to revolutionize business operations and decision-making processes. Industry stakeholders should adapt to this trend by investing in AI technologies and talent, to remain competitive in the rapidly evolving market.

    Local special circumstances:
    In Serbia, the Machine Learning Market within the Artificial Intelligence Market is driven by a growing demand for automation and efficiency in various industries, such as finance, healthcare, and manufacturing. Additionally, the country's strategic location and low labor costs make it an attractive destination for outsourcing AI projects. However, the market is hindered by limited government support and a lack of skilled professionals. This has led to the emergence of local startups and initiatives aimed at promoting AI education and research, creating a unique ecosystem for the development of the market.

    Underlying macroeconomic factors:
    The Machine Learning Market within the Artificial Intelligence Market in Serbia is influenced by macroeconomic factors such as technological advancements, government initiatives, and investment in research and development. With the government's focus on promoting innovation and digitalization, the market is expected to witness significant growth. Additionally, the growing demand for automation and data-driven decision-making in various industries, coupled with the country's improving economic health, is projected to drive the market for machine learning in Serbia.

    Global Comparison

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Methodology

    Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

    Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. 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 S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

    Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.

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    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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