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Lu - vi, 9:30 - 17:00 h (CET)
Lu - vi, 9:00 - 18:00 h (EST)
Lu - vi, 9:00 - 17:00 h (SGT)
Lu - vi, 10:00 - 18:00 h (JST)
Lu - vi, 9:30 - 17:00 h (GMT)
Lu - vi, 9:00am-6:00pm (EST)
The Facial Recognition Market in Qatar is facing subdued growth due to limited adoption of digital technologies, low health awareness, and preference for traditional health services. However, the convenience offered by online health services may drive future growth in the Computer Vision Market within the Artificial Intelligence Market in Qatar.
Customer preferences: With the rise of facial recognition technology, consumers in Qatar are becoming more open to the idea of using AI-powered systems for security and access control. This trend is driven by the country's focus on modernizing its infrastructure and creating a smart city environment. Additionally, there is a growing demand for contactless solutions, especially in light of the COVID-19 pandemic, leading to an increased adoption of facial recognition for identity verification and payment authentication purposes. This shift towards advanced technologies is also influenced by the country's young and tech-savvy population, who are more open to embracing new innovations.
Trends in the market: In Qatar, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a growing demand for facial recognition technology in various industries such as banking, transportation, and retail. With advancements in AI technology, facial recognition systems are becoming more accurate and efficient, leading to increased adoption. This trend is expected to continue as government initiatives to digitize public services and increase security measures drive the market. Industry stakeholders should closely monitor this trend and invest in developing reliable and ethical facial recognition solutions to meet the growing demand.
Local special circumstances: In Qatar, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is driven by the nation's focus on becoming a global hub for technology and innovation. This is supported by the government's initiatives to promote the use of advanced technologies in various sectors, including security and healthcare. Additionally, the country's high GDP per capita and the presence of a large expatriate population contribute to the demand for advanced facial recognition solutions in areas such as immigration and customer identification.
Underlying macroeconomic factors: The Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Qatar is influenced by macroeconomic factors such as technological advancements, regulatory support, and investment in infrastructure. Qatar's strong investment in digital technologies and its favorable regulatory environment have contributed to the growth of the Facial Recognition Market. The country's robust economy and steady GDP growth have also created a conducive environment for market growth. Moreover, the increasing demand for advanced security and surveillance solutions in Qatar, coupled with the rising adoption of facial recognition technology in various industries, is driving the growth of the market.
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.
Lu - vi, 9:30 - 17:00 h (CET)
Lu - vi, 9:00 - 18:00 h (EST)
Lu - vi, 9:00 - 17:00 h (SGT)
Lu - vi, 10:00 - 18:00 h (JST)
Lu - vi, 9:30 - 17:00 h (GMT)
Lu - vi, 9:00am-6:00pm (EST)