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Machine Learning - South Africa

South Africa
  • The market size in the Machine Learning market is projected to reach US$336.30m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 36.08%, resulting in a market volume of US$2.13bn by 2030.
  • In global comparison, the largest market size will be United States (US$21.14bn in 2024).

Definition:
Machine learning is a branch of artificial intelligence that involves the use of algorithms and statistical models to enable computer systems to learn from data and improve their performance on a task. It has a wide range of applications, including image and speech recognition, natural language processing, and predictive analytics. The Machine Learning market includes software platforms, tools, and services that enable organizations to develop and deploy machine learning applications.

Additional Information:

The Machine Learning market comprises two key performance indicators: market sizes, and market sizes by industry. Market sizes are generated by the funding amount of Artificial Intelligence (AI) companies. Key players of the market include companies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

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In-Scope

  • Supervised learning applications that require training data, such as image classification
  • Unsupervised learning applications that do not need training data, such as clustering and anomaly detection
  • Reinforcement learning applications that involve learning through trial and error, such as game playing, robotics, and autonomous driving.

Out-Of-Scope

  • Traditional programming tools, such as rule-based systems and algorithmic programming
  • Statistical analysis tools, such as regression analysis and hypothesis testing
  • Non-technical applications, such as financial analysis and business management.
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Artificial Intelligence: in-depth market analysis

Study Details

    Value

    Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

    Most recent update: Mar 2024

    Market Size

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Analyst Opinion

    The Artificial Intelligence market in South Africa is witnessing an incredible growth rate, propelled by the adoption of Machine Learning technology, growing health consciousness among consumers, and the convenience of online health services.

    Customer preferences:
    As South Africa continues to embrace artificial intelligence, there has been a growing interest in machine learning applications. This trend is driven by the need for personalized and efficient solutions in various industries, such as finance, healthcare, and retail. Additionally, the rise of digital platforms and e-commerce has led to a greater demand for AI-powered tools to enhance customer experience and streamline business operations. Furthermore, the increasing adoption of smart devices and digital technologies has created a conducive environment for the growth of the machine learning market in South Africa.

    Trends in the market:
    In South Africa, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for predictive analytics solutions, as businesses look to optimize operations and make data-driven decisions. The adoption of cloud-based machine learning platforms is also on the rise, providing easier access to advanced algorithms and tools. This trend is significant as it enables businesses to enhance efficiency and competitiveness. However, there are concerns about data privacy and security, which may impact industry stakeholders' decision-making. Additionally, there is a growing interest in using machine learning for social good, such as addressing healthcare disparities and improving education outcomes. This reflects the potential of machine learning to have a positive impact on society and drive positive change.

    Local special circumstances:
    In South Africa, the Machine Learning Market within the Artificial Intelligence Market is seeing rapid growth due to the country's increasing adoption of technology and digitalization. The market is also influenced by the government's focus on promoting innovation and entrepreneurship in the tech sector. Additionally, South Africa's diverse culture and language barriers create unique challenges for AI companies, leading to the development of localized solutions. The country's strict data privacy laws and regulations also play a significant role in shaping the Machine Learning Market within the Artificial Intelligence Market in South Africa.

    Underlying macroeconomic factors:
    The Machine Learning Market within the Artificial Intelligence Market in South Africa is influenced by macroeconomic factors such as technological advancements, government support, and investment in data infrastructure. Favorable regulatory environments and strong investment in machine learning technologies are driving market growth in the country. The rising demand for digital solutions in various industries, including healthcare, finance, and manufacturing, is also contributing to the growth of the market. Additionally, the growing digitalization and adoption of advanced technologies in the region are creating a favorable environment for the development of the machine learning market.

    Global Comparison

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    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.

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    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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