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Computer Vision - D-A-CH

D-A-CH
  • The market size in the Computer Vision market is projected to reach US$1.65bn in 2025.
  • The market size is expected to show an annual growth rate (CAGR 2025-2030) of 9.91%, resulting in a market volume of US$2.64bn by 2030.
  • In global comparison, the largest market size will be United States (US$7.80bn in 2025).

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

    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 D-A-CH is experiencing mild growth, driven by factors such as increasing adoption of computer vision technologies, rising awareness of their benefits, and the convenience of online services. These sub-markets, including speech, image, and facial recognition, play a key role in driving the overall market growth. However, factors such as data privacy concerns and limited access to advanced technology may impact the growth rate.

    Customer preferences:
    As AI technology continues to advance, there is a growing demand for computer vision solutions in D-A-CH. This is driven by the increasing use of AI-powered devices in various industries, such as healthcare and retail. Additionally, there is a shift towards more personalized and interactive customer experiences, leading to the adoption of computer vision technology for facial recognition and emotion detection. Furthermore, the rise of e-commerce and online shopping has also fuelled the need for computer vision-based product recommendations and virtual try-on features, catering to the changing consumer preferences for convenience and personalization.

    Trends in the market:
    In D-A-CH, the Computer Vision Market within the Artificial Intelligence Market is witnessing a rapid growth in the use of computer vision technology in various industries. This is driven by the increasing demand for automation and efficiency in processes. Additionally, there is a rising trend of incorporating computer vision in healthcare for medical imaging and diagnosis. This trend is expected to continue, with the potential to revolutionize the healthcare industry and improve patient outcomes. Furthermore, the integration of computer vision with other emerging technologies like augmented reality and IoT is opening up new possibilities for businesses in the region.

    Local special circumstances:
    In Germany, the computer vision market is seeing significant growth due to the country's strong manufacturing industry and adoption of Industry 4.0. The government's focus on digitization and investment in research and development has also fueled the market. In Switzerland, the market is driven by the country's highly skilled workforce and its reputation as a hub for innovation and technology. Additionally, strict data privacy laws in both countries have influenced the development of ethical and transparent AI solutions.

    Underlying macroeconomic factors:
    The Computer Vision Market within the Artificial Intelligence Market is influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable economic conditions and strong investment in AI technologies are experiencing faster market growth compared to regions with limited resources. Additionally, the increasing demand for automation and efficiency in various industries, such as manufacturing, healthcare, and retail, is driving the adoption of computer vision solutions. The growing trend of using AI for predictive analytics and decision-making is also contributing to the growth of the market in D-A-CH.

    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: Jan 2025

    Source: Statista Market Insights

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