Machine Learning - Morocco

  • Morocco
  • The market size in the Machine Learning market is projected to reach US$108.70m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 36.07%, resulting in a market volume of US$690.00m by 2030.
  • In global comparison, the largest market size will be in the United States (US$21.14bn in 2024).
 
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Analyst Opinion

The Artificial Intelligence market in Morocco is witnessing an extraordinary growth rate, driven by factors like increasing adoption of Machine Learning technology, rising health awareness among citizens, and convenience offered by online health services.

Customer preferences:
The Machine Learning Market within the Artificial Intelligence Market in Morocco has witnessed a growing demand for personalized and automated customer service solutions. This is driven by the country's large youth population and their increasing preference for digital interactions. Additionally, the adoption of smart home technology and virtual assistants has also seen a rise, as consumers seek enhanced convenience and efficiency in their daily lives. The shift towards these technologies is also influenced by the rising trend of urbanization and the need for efficient resource management.

Trends in the market:
In Morocco, there is a growing adoption of machine learning in industries such as banking, healthcare, and retail. This trend is driven by the increasing availability of data, advancements in technology, and a growing awareness of the potential benefits of machine learning. As more companies in Morocco incorporate machine learning into their operations, there is a significant rise in demand for skilled professionals in this field. This trend is expected to continue, creating new opportunities for industry stakeholders such as technology providers, training institutions, and job seekers. Additionally, the use of machine learning in Morocco has the potential to improve efficiency, reduce costs, and drive innovation in various sectors, further fueling its growth.

Local special circumstances:
In Morocco, the Machine Learning Market within the Artificial Intelligence Market is experiencing growth due to the country's strong investment in technology and its favorable regulatory environment for startups. Additionally, the increasing adoption of technology by businesses and the government's focus on developing a knowledge-based economy are driving the market. However, the market is also influenced by cultural factors, such as the preference for face-to-face interactions in business dealings, which may impact the adoption of AI solutions.

Underlying macroeconomic factors:
The development of the Machine Learning Market within the Artificial Intelligence Market in Morocco is greatly influenced by macroeconomic factors such as technological advancements, government initiatives, and investment in digital infrastructure. Countries with supportive regulatory environments and strategic investments in AI technology are experiencing rapid growth in the market. Moreover, the rising demand for AI-driven solutions in various industries, along with the country's growing digital economy, is expected to drive the growth of the Machine Learning Market in Morocco. Additionally, the government's focus on promoting digitalization and innovation in the country is also expected to contribute to the market's growth.

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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