Facial Recognition - Kenya

  • Kenya
  • The market size in the Facial Recognition market is projected to reach US$5.88m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.34%, resulting in a market volume of US$10.05m 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 in Kenya has seen modest growth due to factors such as limited access to technology and data privacy concerns. However, the market is expected to experience steady growth as the country becomes more digitally advanced.

Customer preferences:
With the rise of e-commerce and online shopping in Kenya, there has been a growing demand for facial recognition technology to enhance security and streamline payment processes. Additionally, the use of facial recognition in public spaces, such as airports and public transport, has become more prevalent due to the country's high rates of crime. This trend is expected to continue as the technology becomes more advanced and widely available, catering to the safety and convenience needs of the Kenyan population.

Trends in the market:
In Kenya, the Facial Recognition Market is experiencing a surge in demand due to the government's increased use of the technology for security purposes. Additionally, with the rise of e-commerce and online banking, there is a growing trend towards using facial recognition for identity verification. This trend is expected to continue as the technology becomes more advanced and affordable. For industry stakeholders, this presents lucrative opportunities in the market. However, it also raises concerns about privacy and potential misuse of the technology. As the market grows, it will be important for stakeholders to closely monitor and address these issues to maintain the trust of consumers and regulators.

Local special circumstances:
In Kenya, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is gaining traction due to the government's investment in smart cities and digital infrastructure. The country's large unbanked population is also driving the growth of facial recognition technology for financial transactions. Additionally, Kenya's unique regulatory environment, with a focus on data privacy and protection, is shaping the development and adoption of facial recognition technology in the country.

Underlying macroeconomic factors:
The growth of the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government policies, and investment in digital infrastructure. Countries with strong government support and investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing demand for security and surveillance solutions, coupled with the rising adoption of biometric identification systems, is driving the growth of the facial recognition market in Kenya.

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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