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Facial Recognition - Hungary

Hungary
  • The market size in the Facial Recognition market is projected to reach US$9.30m 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$15.91m 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

    In Hungary, the Facial Recognition market within the Artificial Intelligence Market is experiencing subdued growth. Factors such as increasing adoption of advanced technologies and rising demand for online services are impacting the market's growth rate, which is expected to continue in the foreseeable future.

    Customer preferences:
    The increasing concerns over data privacy and security have resulted in a growing demand for facial recognition technology in Hungary. This trend is also influenced by the rising adoption of smart city initiatives and the push towards a cashless society. Additionally, the integration of facial recognition in payment systems and access control is becoming more prevalent, as consumers prioritize convenience and contactless interactions in the wake of the COVID-19 pandemic.

    Trends in the market:
    In Hungary, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a significant increase in demand due to the government's push towards digitalization and modernization. This trend is expected to continue as the market for facial recognition technology expands to sectors such as law enforcement and retail. In addition, there is a growing focus on developing more accurate and efficient facial recognition algorithms, further driving the growth of this market. These developments have significant implications for industry stakeholders, as they will need to adapt to new regulations and technological advancements in order to remain competitive in the market.

    Local special circumstances:
    In Hungary, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is influenced by the country's strict data protection laws. This has led to a slower adoption of facial recognition technology and stricter regulations for its use. Additionally, the cultural and historical impact of surveillance has also affected the market, with some citizens expressing concern over privacy and government control. These factors have shaped the market dynamics, creating a more cautious and regulated approach to facial recognition technology in Hungary.

    Underlying macroeconomic factors:
    The Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Hungary is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in digital infrastructure. With a growing economy and increasing investments in AI technologies, Hungary is experiencing a rapid growth in the facial recognition market. Furthermore, the country's strong regulatory environment and favorable policies towards AI development are attracting international players to invest in the market. Additionally, the rising demand for security and authentication solutions in various industries, coupled with the increasing use of facial recognition in public spaces, is driving the growth of the market in Hungary.

    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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