There are 6 Companies in Kenya
that provide Machine Learning Services!

Kenya’s ICT sector was worth an estimated $5.48 billion in 2017, constituting 31.7% growth from 2016. The telecommunications segment makes up the vast majority of this at around $3.2 billion. Other important contributors are broadcasting, data center services, cloud, IT, and BPO.

Kenya’s combination of relatively stable governance, strategic location, and young and innovative population has made it an attractive destination for multinational companies. Several notable firms such as Oracle, IBM, Microsoft, Cisco, HP, and SAP have offices in Nairobi, and some have based their entire African operations from these offices.

Why you should work with Kenyan IT companies

Digital service providers in the cloud and BPO markets are largely involved in the provision, rather than the development, of services, whilst Kenyan firms are more prevalent in the fintech and eCommerce markets. The physical technology required for the delivery of digital services is typically imported, and it is not clear that Kenya could produce these products more efficiently. 

A key strength in the digital services market is the acceptance of mobile services. Any consumer solution entering the market would have to be mobile-compatible. Mobile healthcare services are expected to grow particularly rapidly as the sophistication of these offerings increases.

What to pay attention to when working with Kenyan IT companies and web agencies

On the consumer side, it is vital that any proposed digital service offering be mobile-compatible due to the prevalence of mobile usage in Kenya. Furthermore, smartphone penetration in the region is steadily increasing, thus increasing the sophistication of viable digital service offerings. 

Given the acceptance of fintech by the Kenyan population, a possible route to entry in the consumer market is to acquire one of the many smaller fintech firms in the industry. This would resolve some of the primary barriers to entry, most specifically bureaucratic red tape and a lack of local knowledge. 

On the corporate side, the most effective route to entry is likely through partnerships with smaller local resellers. This model is already popular in the Kenyan market. A key differentiating feature here will be how well the service adapted to the Kenyan market.

How reliable are Kenyan-based IT companies?

Considered to be one of the biggest African IT hubs, Kenyan web agencies and IT companies compete only with Ethiopian ones in terms of reliability. As many foreign companies have already invested and thus developed the local IT infrastructure and industry overall, Kenyan IT companies find it easier than other neighboring countries to enter the global market and provide their services for accessible prices. 

How Kenyan IT industry relate to the neighboring countries?

Kenya is actively trying to establish itself as a key ICT hub in the East African region. The country appears to be making good progress in this regard, helped by having a strong connectivity infrastructure and a young, innovative population. Despite this, the country currently faces considerable political uncertainty, and issues surrounding the transparency of tenders remain a major barrier to growth.

Although Kenya’s score for the metric measuring the economic impact of ICT is not high in absolute terms, it ranks 54th in the world. This supports the conjecture that businesses, government, and consumers will be receptive to new technologies as ICT has already had a substantial impact on the Kenyan economy

Machine Learning is a branch of artificial intelligence, that uses data and algorithms in order to imitate human intelligence. It's like teaching computers to learn from examples and once the computer learns, it can help with all sorts of tasks, like:

• Classifying data into different categories: spam or ham/  healthy or unhealthy etc.

• Predicting outcomes,  predicting future events, such as product demand, or financial risk.

• Recommending products or services to customers based on their past behavior or preferences.

• Optimizing processes, such as supply chain management or customer service.

Machine learning is part of many AI applications such as recommendation systems, spam filtering, image recognition, natural language processing, and fraud detection.

According to a recent report by Gartner, the global market for machine learning is expected to reach $119.5 billion by 2024. This growth is being driven by the increasing adoption of machine learning in a wide range of industries, including healthcare, finance, retail, and manufacturing.

Who provides machine learning services?

As we see, machine learning is a complex field and we know that a variety of professionals are involved. Here are a few of them:

• Machine learning engineers who develop and deploy machine learning algorithms.

• Data scientists who collect, clean, and analyze data for machine learning applications.

• AI consultants that help businesses adopt machine learning technologies.

We invite you to discover which are the best ML companies in 2023 on our blog and find the best ML service providers on Techbehemoths using the filter or submitting your project and we will help to choose your perfect match. There are more than 530 companies that provide machine learning solutions.

Also, we invite you to read how AI and Machine Learning are revolutionizing the written word and what is the role of machine learning in smart city life.