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Machine Learning - Switzerland

Switzerland
  • The market size in the Machine Learning market is projected to reach US$679.50m 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$4.31bn 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 Switzerland has seen extraordinary growth, fueled by factors such as increasing adoption of Machine Learning, rising awareness about AI in healthcare, and the convenience of online services. The market's growth rate is influenced by the country's highly skilled workforce and supportive government initiatives.

    Customer preferences:
    As the use of artificial intelligence continues to expand, the Machine Learning Market within the Artificial Intelligence Market in Switzerland is experiencing a shift towards personalized and data-driven solutions. Consumers are increasingly interested in AI-powered products and services that cater to their specific needs and preferences. This trend is driven by the growing demand for efficient and accurate decision-making tools, as well as the desire for more personalized and convenient experiences. Additionally, the rise of smart homes and connected devices is creating a demand for AI-powered home automation and personal assistant systems, further driving the growth of the Machine Learning Market in Switzerland.

    Trends in the market:
    In Switzerland, the Machine Learning market within the Artificial Intelligence market is experiencing a surge in demand for predictive analytics and machine learning solutions. This is driven by the increasing adoption of digital transformation across industries and the need for advanced data analysis to make informed business decisions. Additionally, there is a growing trend towards using AI-powered chatbots for customer service and virtual assistants for workplace productivity. These trends are significant as they offer cost-effective and efficient solutions for businesses and have the potential to transform various industries, including healthcare, finance, and manufacturing. Industry stakeholders must stay updated on these trends to stay competitive and leverage the benefits of AI in their operations.

    Local special circumstances:
    In Switzerland, the Machine Learning Market within the Artificial Intelligence Market is thriving due to the country's highly skilled workforce and strong technology infrastructure. Additionally, the country's strict data privacy laws and regulations have created a trust for AI solutions among consumers. The Swiss market has also seen a rise in AI adoption in the healthcare sector, with the government promoting digital health initiatives and the use of AI in medical research.

    Underlying macroeconomic factors:
    The growth of the Machine Learning Market within the Artificial Intelligence Market in Switzerland is heavily influenced by macroeconomic factors such as advancements in technology, government support, and investment in digital infrastructure. Switzerland has a strong economy and a favorable regulatory environment, which has led to increased investment in AI technologies. Additionally, the country's aging population and the rising demand for more efficient and accurate data analysis are driving the growth of the machine learning market in the country. Furthermore, Switzerland's position as a global leader in research and innovation also contributes to the growth of the market.

    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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