Facial Recognition - United Arab Emirates

  • United Arab Emirates
  • The market size in the Facial Recognition market is projected to reach US$26.21m 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$44.82m by 2030.
  • In global comparison, the largest market size will be in the United States (US$1,316.00m in 2024).
 
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Analyst Opinion

The Facial Recognition Market in the Artificial Intelligence Market of United Arab Emirates has seen moderate growth, driven by factors such as increasing adoption of AI technologies and the convenience of facial recognition services. However, the market's growth rate is subdued due to factors such as privacy concerns and regulatory challenges.

Customer preferences:
As the use of facial recognition technology expands in the United Arab Emirates, consumer preferences are shifting towards more secure and efficient ways of verifying their identity. This trend is driven by a growing awareness of the need for data privacy and security, as well as a desire for convenience and speed in daily transactions. This has led to an increased demand for biometric solutions in areas such as banking, transportation, and healthcare industries, where facial recognition is being used for secure access and authentication.

Trends in the market:
In the United Arab Emirates, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for biometric security solutions, as the government and private sector invest in advanced technologies to enhance security measures. This trend is expected to continue, with an increasing emphasis on facial recognition technology in airports, banks, and public spaces. This presents significant opportunities for industry stakeholders, including software developers, security companies, and hardware manufacturers. However, concerns over privacy and data protection must be addressed to ensure the responsible use of this technology.

Local special circumstances:
In United Arab Emirates, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is thriving due to the government's focus on smart city initiatives and the country's advanced infrastructure. The market is also influenced by the region's high demand for security and surveillance solutions, as well as the growing adoption of biometric technology in various industries. Additionally, cultural norms and privacy concerns may impact the use of facial recognition technology in the country.

Underlying macroeconomic factors:
The growth of the Facial Recognition Market within the Computer Vision Market of the Artificial Intelligence Market in the United Arab Emirates is largely impacted by macroeconomic factors such as government initiatives, technological advancements, and investment in infrastructure. The country's strong focus on digital transformation, coupled with its favorable regulatory environment, has led to a rapid adoption of facial recognition technology in various sectors. Additionally, the growing population and increasing demand for security and surveillance solutions are also contributing to the market growth in the United Arab Emirates.

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.

Overview

  • Market Size
  • Value
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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