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Machine Learning - Hungary

Hungary
  • The market size in the Machine Learning market is projected to reach US$149.40m 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$948.80m 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 of Hungary is seeing extraordinary growth due to factors such as the country's increasing adoption of digital technologies, growing awareness of the benefits of AI in healthcare, and the convenience of online services. The market's rapid growth rate is influenced by the government's initiatives to promote AI and the growing demand for advanced healthcare solutions.

    Customer preferences:
    There has been a growing demand for personalized and automated solutions in the Machine Learning Market within the Artificial Intelligence Market in Hungary. This is driven by a shift towards efficiency and convenience, as well as a desire for more accurate and tailored experiences. Additionally, there is a growing interest in using machine learning algorithms for predictive maintenance in various industries, as well as for fraud detection and risk management in the financial sector. These trends reflect a changing mindset towards embracing technology and its potential to enhance and streamline various aspects of daily life.

    Trends in the market:
    In Hungary, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge as companies across various industries are investing in advanced technologies to improve their operations. This trend is expected to continue, with a focus on implementing Machine Learning algorithms for tasks such as data analysis, predictive maintenance, and customer service. This shift towards automation and data-driven decision making has significant implications for industry stakeholders, including increased efficiency, cost savings, and improved customer experiences. Additionally, the government's support for AI development and the availability of a skilled workforce are further driving the growth of the Machine Learning Market in Hungary.

    Local special circumstances:
    In Hungary, the Machine Learning Market within the Artificial Intelligence Market is experiencing rapid growth due to the country's strong focus on innovation and technology. The government's support for startups and tech companies has created a favorable environment for the development and adoption of AI solutions. Additionally, the country's well-educated workforce and its strategic location in Central Europe make it an attractive market for international investors. However, strict data privacy regulations and limited access to funding may pose challenges for smaller players in the market.

    Underlying macroeconomic factors:
    The growth of the Machine Learning Market within the Artificial Intelligence Market in Hungary is heavily influenced by macroeconomic factors such as advancements in technology, government support and investment in AI infrastructure. Countries with favorable regulatory environments and strong investment in AI are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Furthermore, the increasing demand for AI solutions in various industries, such as healthcare, finance, and manufacturing, is driving the growth of the market in Hungary. The country's strong economic health and supportive fiscal policies also contribute to the positive performance of the Machine Learning Market within the Artificial Intelligence Market in Hungary.

    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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