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Computer Vision - Switzerland

Switzerland
  • The market size in the Computer Vision market is projected to reach US$221.10m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 10.50%, resulting in a market volume of US$402.40m by 2030.
  • In global comparison, the largest market size will be United States (US$6.88bn in 2024).

Definition:
Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from digital images or videos. It involves the development of algorithms and models that can extract meaningful insights from visual data, such as identifying objects in images (image recognition), converting spoken language into written text (speech recognition), and analyzing unique facial features for identification (facial recognition). By mimicking human vision and perception, computer vision technology enables machines to comprehend and analyze visual content. This technology is applicable to a wide range of industries.

Structure:
The Computer Vision market has three markets. The Speech Recognition market covers the analysis and interpretation of human speech. The Image Recognition market covers the analysis and interpretation of digital images using computer vision, and the Facial Recognition covers the analysis and interpretation of human faces in digital images and/or videos.

Additional Information:

The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Computer Vision companies. Key players of the market include companies such as Nvidia, Intel, and IBM.

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In-Scope

  • Applications of computer vision to enable machines to interpret and analyze visual data, such as image and video recognition, autonomous vehicles, and medical imaging.

Out-Of-Scope

  • Non-artificial intelligence applications of computer vision, such as video processing and editing, which do not involve machine learning or pattern recognition.
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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 Artificial Intelligence market in Switzerland, specifically the Computer Vision sub-market, is experiencing mild growth driven by factors such as increasing adoption of digital technologies, growing awareness of AI in healthcare, and the convenience offered by online health services. These factors are expected to continue impacting the market's growth rate in the coming years.

    Customer preferences:
    The growing adoption of computer vision technology in Switzerland is driven by the rising demand for automated and intelligent solutions in industries such as healthcare, manufacturing, and retail. With an aging population and increasing labor costs, businesses are turning to computer vision systems to optimize processes and reduce operational costs. Furthermore, the integration of computer vision with AI and machine learning is enabling more advanced and personalized solutions, catering to changing consumer preferences for convenience and efficiency.

    Trends in the market:
    In Switzerland, the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology, particularly in the retail and security sectors. This trend is driven by the need for contactless and efficient identification processes. Additionally, there is a growing emphasis on using computer vision for quality control and defect detection in manufacturing. These trends are significant as they improve business operations and enhance customer experience. However, there are concerns about data privacy and bias in facial recognition algorithms, which could have implications for industry stakeholders.

    Local special circumstances:
    In Switzerland, the Computer Vision Market within the Artificial Intelligence Market is heavily influenced by the country's strong focus on innovation and technology. The government's support for research and development in AI has led to the growth of numerous startups and established companies in this sector. Additionally, the country's highly skilled workforce and favorable business environment make it an attractive market for AI companies. Furthermore, Switzerland's strict data privacy laws and ethical standards ensure responsible and transparent use of AI, making it a trusted market for businesses and consumers alike.

    Underlying macroeconomic factors:
    The Computer Vision Market within the Artificial Intelligence Market in Switzerland is greatly influenced by macroeconomic factors such as technological advancements, government support, and investment in digital infrastructure. Switzerland's stable economy and strong investment in research and development have created a favorable environment for the growth of the computer vision market. Additionally, the increasing demand for advanced technologies in various industries, such as healthcare, manufacturing, and automotive, is driving the adoption of computer vision solutions in Switzerland. Furthermore, the country's highly skilled workforce and favorable business climate also contribute 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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