Image Recognition - Kenya

The Image Recognition market in Kenya is witnessing subdued growth, influenced by factors like slow adoption of digital technologies, limited health awareness, and lack of convenience in online services. This has resulted in a slower growth rate in the Computer Vision and Artificial Intelligence markets.

Customer preferences: One notable trend in the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Kenya is the increasing use of AI-powered facial recognition technology in security and surveillance systems. With rising concerns about crime and terrorism, businesses and government agencies are turning to advanced facial recognition systems to enhance security measures. This shift is also driven by a growing adoption of mobile biometric authentication methods, as well as the need for contactless identification and verification processes due to the COVID-19 pandemic.

Trends in the market: In Kenya, there is a increasing demand for image recognition technology, particularly in the healthcare sector. This trend is driven by the need for accurate and efficient diagnosis, especially in remote areas with limited access to medical experts. Additionally, there is a growing interest in using image recognition for security and surveillance purposes, as the country faces increasing security threats. This trend is expected to continue, with potential implications for industry stakeholders such as healthcare providers and security companies. It also presents opportunities for companies to develop innovative solutions to meet the specific needs of the Kenyan market.

Local special circumstances: In Kenya, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is gaining traction due to the country's growing technology sector and government support for innovation. The market is also influenced by the increasing adoption of smartphones and internet services, making it easier for businesses to implement image recognition solutions. Additionally, Kenya's diverse cultural landscape and unique business environment contribute to the market's growth by creating demand for customized image recognition solutions that cater to local needs and preferences. However, the lack of regulatory frameworks and skilled professionals in the AI industry may pose challenges in the market's development.

Underlying macroeconomic factors: The performance of the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Kenya is affected by macroeconomic factors such as government investments in technology, policies promoting innovation, and the overall health of the national economy. Countries with supportive policies and high investments in AI are experiencing faster market growth compared to those with limited regulatory support and resources. Additionally, the rising demand for AI solutions in various industries, such as healthcare and finance, is driving market growth in Kenya and other countries worldwide.

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.