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Machine Learning - Greece

Greece
  • The market size in the Machine Learning market is projected to reach US$182.00m 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$1.16bn 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 Greece, within the Artificial Intelligence market, is experiencing extraordinary growth rate, driven by factors such as increasing demand for digital solutions, growing awareness of the benefits of AI in healthcare, and the convenience of online services.

    Customer preferences:
    As the demand for personalized and efficient solutions continues to rise, consumers in Greece are turning towards Machine Learning technology in the Artificial Intelligence market. This trend is driven by the country's growing technology and innovation sector, as well as the increasing adoption of digital platforms for everyday tasks. Additionally, the shift towards Machine Learning is fueled by the need for automated and data-driven decision making, especially in industries such as finance, healthcare, and retail.

    Trends in the market:
    In Greece, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for predictive analytics solutions. This trend is driven by the need for businesses to make data-driven decisions and gain a competitive edge. Additionally, there is an increasing adoption of AI-powered chatbots for customer service and support. These trends are significant as they enable businesses to streamline operations and improve customer satisfaction. Furthermore, stakeholders in the industry can benefit from the growing market by investing in AI-based solutions and staying updated with the latest advancements. There is also potential for AI to revolutionize industries such as finance, healthcare, and transportation in Greece.

    Local special circumstances:
    In Greece, the Machine Learning market is growing rapidly due to the country's strong focus on technology and innovation. The government has implemented policies to support the development of AI and has set up investment funds to attract foreign companies. Additionally, Greece's strategic location between Europe, Asia, and Africa makes it an ideal market for companies looking to expand their AI capabilities globally. Despite the economic challenges faced by the country, the Machine Learning market in Greece is expected to continue its growth trajectory, driven by the increasing adoption of AI in various industries such as finance, healthcare, and manufacturing.

    Underlying macroeconomic factors:
    The expansion of the Machine Learning Market within the Artificial Intelligence Market in Greece is shaped by macroeconomic factors including technological advancements, government support, and investments in research and development. Greece's favorable regulatory environment and growing investments in AI technologies have propelled the market's growth. Furthermore, the country's aging population and increasing demand for innovative solutions in various industries, such as healthcare and finance, are also driving the demand for machine learning. This trend is expected to continue as Greece remains committed to promoting AI as a key driver of economic growth and competitiveness.

    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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