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Facial Recognition - Turkey

Turkey
  • The market size in the Facial Recognition market is projected to reach US$46.82m 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$80.06m 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 Turkey is facing subdued growth due to factors such as limited adoption of digital technologies and concerns over privacy and security. Despite this, the market is expected to see an increase in demand as the country continues to invest in AI technology. Convenience and accuracy of facial recognition software are driving factors for growth.

    Customer preferences:
    With the rise of digitalization, there has been a growing demand for facial recognition technology in Turkey. This is driven by the need for enhanced security measures, as well as the convenience it offers in various sectors such as banking and retail. Additionally, there has been an increase in the use of facial recognition in government services, such as passport control and border security. This trend is expected to continue as the technology evolves and becomes more widely adopted in the country.

    Trends in the market:
    In Turkey, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand, driven by the government's initiatives to implement facial recognition technology in various sectors, such as security and banking. This trend is expected to continue as the country strives to modernize its infrastructure and improve efficiency. Additionally, there is a growing interest from private companies in utilizing facial recognition for customer identification and personalization. This presents opportunities for industry stakeholders to tap into a lucrative market and provide innovative solutions. However, concerns over privacy and data protection could potentially hinder the growth of this market.

    Local special circumstances:
    In Turkey, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing growth due to the government's initiatives for digital transformation and the increasing adoption of facial recognition technology in various industries such as banking and security. However, concerns surrounding privacy and data protection regulations pose challenges for market expansion. Additionally, cultural preferences for physical interactions and the use of traditional identification methods may slow down the adoption rate of facial recognition technology in certain sectors.

    Underlying macroeconomic factors:
    The Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Turkey is heavily impacted by macroeconomic factors such as technological advancements, government policies, and investment in digital infrastructure. Countries with favorable regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the growing population and increasing demand for security and surveillance solutions are driving the adoption of facial recognition technology in Turkey.

    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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