Computer Vision - United Arab Emirates

The Artificial Intelligence market in United Arab Emirates is witnessing steady growth, driven by factors such as increasing adoption of computer vision technologies, growing health awareness, and the convenience of online services. This mild growth rate is influenced by the emerging sub-markets of Speech Recognition, Image Recognition, and Facial Recognition.

Customer preferences: The United Arab Emirates is experiencing a growing demand for computer vision technology in various industries, such as healthcare, retail, and security. This is driven by the increasing adoption of artificial intelligence and the need for advanced data analysis and automation. Additionally, cultural and demographic shifts, such as the rise of smart cities and the young and tech-savvy population, are influencing the market's growth. As a result, there is a growing trend towards personalized and efficient solutions, such as facial recognition and object detection, to enhance customer experiences and streamline operations.

Trends in the market: In the United Arab Emirates, the Computer Vision market in the Artificial Intelligence market is experiencing a surge in demand for facial recognition technology, with major companies implementing it for security and customer service purposes. This trend is expected to continue, with the market projected to reach a value of $3.6 billion by 2025. This presents significant opportunities for industry stakeholders, such as technology providers and service integrators, to tap into this growing market and enhance their offerings. Additionally, the increasing adoption of computer vision in retail, healthcare, and transportation sectors is expected to drive further growth in the market.

Local special circumstances: In the United Arab Emirates, the Computer Vision market is on the rise due to the government's initiatives to become a global leader in artificial intelligence. The country's strategic location, strong economy, and investment in cutting-edge technology have attracted top players in the industry. Additionally, the UAE's multicultural population and its focus on innovation have created a fertile ground for the adoption of computer vision technology in various sectors such as healthcare, transportation, and security. The country's favorable regulatory environment and its vision to become a smart city have further propelled the growth of the computer vision market.

Underlying macroeconomic factors: The growth of the Computer Vision Market within the Artificial Intelligence Market in the United Arab Emirates is heavily influenced by macroeconomic factors such as technological advancements, government initiatives, and investment in research and development. The UAE government has been actively promoting the use and development of artificial intelligence technologies, which has created a conducive environment for the growth of the computer vision market in the country. Furthermore, the UAE's strong economic performance, stable financial policies, and investments in infrastructure have also contributed to the growth of the market. The increasing adoption of computer vision solutions by various industries in the UAE, such as healthcare, retail, and transportation, is also driving market growth.

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.