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AI Industrial Robotics - South Africa

South Africa
  • The market size in the AI Industrial Robotics market is projected to reach US$100.10m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 26.22%, resulting in a market volume of US$405.00m by 2030.
  • In global comparison, the largest market size will be United States (US$2.94bn in 2024).

Definition:
Artificial intelligence (AI) industrial robotics refers to the integration of artificial intelligence technologies and capabilities into industrial robots for enhanced automation and intelligent decision-making in manufacturing and industrial processes. These robots are equipped with AI algorithms, machine learning, computer vision, and other AI techniques to perform tasks such as assembly, material handling, quality control, and predictive maintenance with higher precision, efficiency, and adaptability. By leveraging AI, industrial robots can analyze data, learn from experience, and optimize their operations in terms of increased productivity, reduced costs, improved safety, and streamlined manufacturing workflows in various industries.

The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Artificial Intelligence Industrial Robotics companies and market revenue data from the Statista robotics market. Key players of the market include companies such as Universal Robots, ABB, and Fanuc.

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In-Scope

  • Collaborative robots (cobots) that collaborate with human workers, such as Universal Robots' UR5 and UR10
  • Automated guided vehicles (AGVs) that move materials and products through a manufacturing plant, such as KION Group's Linde Robotics
  • Robot arms that perform repetitive tasks on an assembly line, such as ABB's YuMi and Fanuc's LR Mate.

Out-Of-Scope

  • Drones used for surveying or inspecting industrial sites, such as DJI's Matrice series and Parrot's ANAFI USA
  • Self-driving cars or trucks used for transportation of goods or people, such as Tesla's Semi and Waymo's autonomous vans
  • Virtual assistants or chatbots used for customer service and/or sales support, such as IBM Watson Assistant and Google Dialogflow.
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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 AI industrial robotics market in South Africa is experiencing intense growth, driven by the increasing adoption of AI technology, growing demand for automation, and the convenience of using AI robots in various industries. Factors such as the country's growing economy and advancements in AI technology are also contributing to the market's rapid growth.

    Customer preferences:
    In South Africa, the AI Industrial Robotics Market is experiencing a rise in demand due to the country's growing emphasis on automation and digitalization in various industries. This trend is driven by the need for increased efficiency and productivity, as well as the rising costs of labor. Additionally, the growing adoption of AI technology in South Africa is also influenced by the country's rapidly evolving consumer preferences, particularly among the younger generation who are more open to embracing advanced technology. This has created a significant market opportunity for companies operating in the AI Robotics Market within the Artificial Intelligence Market.

    Trends in the market:
    In South Africa, the AI Industrial Robotics Market is seeing a surge in adoption, driven by the government's focus on industrial automation and the rising demand for customized manufacturing solutions. This is accompanied by a growing trend of using AI-powered robots for tasks such as quality control and predictive maintenance. These developments are significant as they enhance productivity and reduce operational costs for businesses. Going forward, this trend is expected to continue, with the potential to revolutionize the manufacturing landscape in South Africa and provide lucrative opportunities for market players.

    Local special circumstances:
    In South Africa, the AI Industrial Robotics Market is influenced by the country's unique labor landscape, with a high unemployment rate and a growing demand for labor-intensive industries. This has spurred the adoption of AI-powered robots to increase productivity and reduce labor costs. Additionally, the country's stringent labor laws and high wages have made the use of AI industrial robotics an attractive option for businesses. The presence of a developing manufacturing sector and a growing demand for automation in agriculture also contribute to the growth of the AI Industrial Robotics Market in South Africa.

    Underlying macroeconomic factors:
    The growth of the AI Industrial Robotics market is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in industrial infrastructure. Countries with favorable regulatory environments and strong investment in industrial automation are experiencing faster market growth compared to regions with regulatory challenges and limited industrial funding. Additionally, the increasing demand for efficient and cost-effective manufacturing processes, along with the rising adoption of advanced technologies in industries, is driving the demand for AI industrial robotics solutions. This is further fueled by the growing need for increased productivity, reduced labor costs, and improved product quality.

    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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