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Facial Recognition - Serbia

Serbia
  • The market size in the Facial Recognition market is projected to reach US$3.28m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.35%, resulting in a market volume of US$5.61m by 2030.
  • In global comparison, the largest market size will be United States (US$1.32bn in 2024).

Definition:
Facial recognition, as part of computer vision, is a technology that involves the identification and verification of individuals by analyzing and comparing unique facial features. It uses algorithms to capture, analyze, and match facial patterns from images or video frames. By extracting key facial landmarks and characteristics, such as the distance between the eyes, the shape of the nose, and the contours of the face, facial recognition systems can accurately recognize and authenticate individuals. The applications for this technology are diverse and include the areas of access control, surveillance, user authentication, and personalized experiences in digital platforms.

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

  • Technologies that use machine learning algorithms to analyze and identify human faces in digital images and/or videos, such as face detection and recognition software
  • Products and services that use facial recognition technology, such as security systems, mobile devices, and augmented reality apps.

Out-Of-Scope

  • Technologies that do not rely on facial recognition, such as voice recognition and image recognition technologies that do not specifically target faces
  • Products and services that do not use facial recognition technology, such as physical goods and traditional customer service support.
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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 Facial Recognition Market in Serbia has seen subdued growth due to factors such as limited adoption of digital technologies, low health awareness, and lack of convenience in online health services within the Computer Vision Market of the Artificial Intelligence Market.

    Customer preferences:
    As facial recognition technology becomes more advanced and widespread in Serbia, there is a growing demand for personalized shopping experiences. Retailers are using this technology to offer personalized product recommendations and tailored discounts, based on a customer's facial features and expressions. This trend is driven by the growing preference for convenience and personalized services, as well as the desire for a more efficient and seamless shopping experience. Additionally, the use of facial recognition in security and surveillance systems is gaining traction, particularly in crowded public spaces, to enhance safety and prevent crime.

    Trends in the market:
    In Serbia, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand due to the increasing adoption of digital technology across various industries. This trend is expected to continue in the coming years as businesses and governments invest in advanced facial recognition solutions for security and surveillance purposes. Additionally, the emergence of contactless payment systems and biometric authentication methods is further driving the growth of this market. With the rising focus on data privacy and security, there is also a growing demand for ethical and transparent facial recognition systems, which presents opportunities for industry players to innovate and stay ahead of the competition.

    Local special circumstances:
    In Serbia, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing steady growth due to the country's increasing adoption of digital technologies. With the government's focus on modernizing public services, there is a rising demand for facial recognition technology in areas such as security, public transportation, and healthcare. Additionally, Serbia's strategic location makes it a key player in the European market, attracting global companies to invest in its growing AI sector. These local factors contribute to the market's favorable conditions and potential for future growth.

    Underlying macroeconomic factors:
    The growth of the Facial Recognition Market in Serbia is influenced by macroeconomic factors such as technological advancements, government support, and investments in digital infrastructure. Countries with favorable regulatory environments and strong investments in artificial intelligence technologies are experiencing faster market growth compared to regions with regulatory challenges and limited resources. Additionally, the increasing demand for advanced security solutions and the adoption of facial recognition technology in various industries are driving the growth of the market in Serbia.

    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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