Facial Recognition - Southern Asia

  • Southern Asia
  • The market size in the Facial Recognition market is projected to reach US$218.30m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.36%, resulting in a market volume of US$373.40m 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 Southern Asia has seen subdued growth, impacted by factors such as privacy concerns and inadequate infrastructure. Despite the potential of Computer Vision technology within the Artificial Intelligence market, the region's market growth is limited at this time.

Customer preferences:
As technology continues to advance, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Southern Asia is experiencing a surge in demand. This is due to the region's growing population and the increasing use of mobile devices, which are now equipped with facial recognition technology. This trend is fueled by the convenience and security that facial recognition offers, as well as cultural preferences for advanced technology. Additionally, the rise of remote work and online transactions has further increased the need for secure and accurate facial recognition technology.

Trends in the market:
In Southern Asia, the Facial Recognition Market within the Computer Vision Market is experiencing a surge in demand due to the increasing adoption of AI-powered surveillance systems and government initiatives to enhance security measures. This trend is expected to continue as more industries, such as healthcare and retail, incorporate facial recognition technology for identification and personalized services. Additionally, there is a growing interest in biometric authentication for digital payments and access control. These trends have significant implications for industry stakeholders, including the need for robust data privacy regulations and ethical considerations in the development and use of facial recognition technology.

Local special circumstances:
In South Asia, the Facial Recognition Market is driven by the region's large population and rapid urbanization. The use of facial recognition technology in banking and financial services is gaining traction due to the region's increasing digitalization and government initiatives to promote cashless transactions. In addition, cultural factors such as high adoption of social media and smartphones are contributing to the growth of this market. However, strict data privacy regulations in countries like India and China may hinder market growth and require companies to adapt their technologies to local regulations.

Underlying macroeconomic factors:
The growth of the Facial Recognition Market within the Computer Vision Market of the Artificial Intelligence Market in Southern Asia is largely influenced by macroeconomic factors such as increasing government investments in technology, rising adoption of smart devices, and a growing emphasis on data privacy and security. Countries with favorable regulatory environments and high levels of technological advancement are experiencing faster market growth compared to regions with limited government support and regulatory challenges. Furthermore, the increasing use of facial recognition technology in various industries, such as healthcare and banking, is driving the demand for innovative solutions to improve security and authentication processes.

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