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Machine Learning - Estonia

Estonia
  • The market size in the Machine Learning market is projected to reach US$31.51m 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$200.00m 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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Artificial Intelligence: in-depth market analysis

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 Artificial Intelligence Market in Estonia is witnessing an extraordinary growth rate, propelled by factors like rapid adoption of Machine Learning, growing health consciousness among consumers, and the ease of access to online health services.

    Customer preferences:
    The adoption of machine learning technology in Estonia has been driven by the country's strong tech culture and high levels of digital literacy. This has resulted in increased demand for AI-powered solutions in various industries, such as finance, healthcare, and e-commerce. Additionally, the growing use of smart devices and the Internet of Things (IoT) has led to a rise in data collection, providing companies with more opportunities for implementing machine learning algorithms. As a result, there is a growing trend towards personalized and data-driven experiences, as consumers expect more tailored and efficient services.

    Trends in the market:
    In Estonia, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand from various industries such as healthcare, finance, and retail. This is driven by the country's strong focus on digital transformation and innovation. As a result, there is a growing trend of using AI-powered solutions for data analysis, predictive maintenance, and customer personalization. This trend is expected to continue in the coming years, with implications for industry stakeholders such as increased efficiency, cost savings, and improved customer experience. Additionally, this growth in the Machine Learning Market is leading to the development of a robust AI ecosystem in Estonia, positioning the country as a leader in the field.

    Local special circumstances:
    In Estonia, the Machine Learning Market within the Artificial Intelligence Market is thriving due to the country's strong tech infrastructure and high levels of digital literacy. Additionally, the government has implemented policies and initiatives to support the development of AI technologies, such as the creation of a national AI strategy. This has attracted both local and international companies to invest in the market, driving its growth. Furthermore, Estonia's small size and close-knit tech community foster collaboration and innovation, making it an ideal environment for the advancement of machine learning technologies.

    Underlying macroeconomic factors:
    The growth of the Machine Learning Market within the Artificial Intelligence Market in Estonia is heavily influenced by macroeconomic factors, including the country's strong investment in digital technologies, supportive regulatory environment, and robust economy. The government's focus on promoting innovation and digitalization has created a favorable environment for businesses in the AI sector. Furthermore, the increasing demand for digital solutions in various industries, such as finance and healthcare, is driving the growth of the market. Additionally, Estonia's thriving startup ecosystem and skilled workforce are contributing to the country's position as a leading hub for AI and machine learning development.

    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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