Computer Vision - Kenya

The Artificial Intelligence market in Kenya, specifically the Computer Vision sector, is experiencing moderate growth due to factors such as increasing adoption of digital technologies, growing awareness about health, and the convenience of online health services. This is impacted by the sub-markets of Speech Recognition, Image Recognition, and Facial Recognition, which contribute to the overall market growth rate.

Customer preferences: Kenya, with its rapidly growing technology sector, has seen a rise in the adoption of computer vision technology in various industries. This trend is driven by the need for efficient and accurate data analysis and decision-making. Additionally, there has been an increasing demand for computer vision solutions that cater to specific cultural needs and preferences, such as language and image recognition. This highlights a shift towards a more localized approach in the development and implementation of AI technology in the country. Moreover, the rise of digital platforms and e-commerce in Kenya has also led to a greater demand for computer vision technology to enhance user experience and improve online shopping processes. This trend is expected to continue as the country's tech ecosystem continues to evolve.

Trends in the market: In Kenya, there is a growing demand for computer vision technology in various industries, including healthcare, agriculture, and retail. This is driven by the country's increasing adoption of artificial intelligence and its potential to improve efficiency and decision-making. For instance, in the healthcare sector, computer vision is being used to automate diagnosis and treatment, while in agriculture, it is being used for precision farming. Furthermore, there is a rising trend of using computer vision for security and surveillance purposes, which is expected to drive the market growth. These trends are significant as they offer cost-effective solutions and have the potential to transform various industries in Kenya. Industry stakeholders should pay attention to these trends and invest in developing and implementing advanced computer vision solutions to stay competitive in the market.

Local special circumstances: In Kenya, the Computer Vision Market within the Artificial Intelligence Market is growing rapidly due to the country's strong focus on developing its technology sector. The government has created policies and initiatives to support the growth of AI, including the establishment of a dedicated AI research center. Additionally, Kenya has a large young population with a high adoption of technology, creating a favorable market for AI solutions. The country's unique geographical and cultural factors also play a role, as the demand for AI solutions is driven by the need to solve local challenges in areas such as agriculture and healthcare. Furthermore, Kenya's relatively relaxed regulatory environment for AI technologies allows for innovation and experimentation in the market.

Underlying macroeconomic factors: The growth of the Computer Vision Market within the Artificial Intelligence Market in Kenya is influenced by macroeconomic factors such as government support for technological innovation, investment in infrastructure, and the country's overall economic health. Kenya's favorable regulatory environment and increasing investment in AI and technology are driving market growth. Additionally, the rising demand for AI solutions in various industries, including healthcare, agriculture, and finance, is also contributing to the market's growth. The country's young population and growing middle class are also creating a conducive environment for the adoption of AI technologies, further 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.