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AI Industrial Robotics - MENA

MENA
  • The market size in the AI Industrial Robotics market is projected to reach US$245.40m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 24.99%, resulting in a market volume of US$935.60m 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

    Market Size

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

    Most recent update: Jul 2024

    Source: Statista Market Insights

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

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Analyst Opinion

    The AI Industrial Robotics Market in MENA nan is experiencing substantial growth, driven by factors such as increasing adoption of AI technologies, growing demand for automation in industries, and the convenience of using AI robots for various tasks. This market growth is mainly impacted by the increasing focus on efficiency and cost-saving measures in industrial processes.

    Customer preferences:
    The MENA region is witnessing a rapid adoption of AI industrial robotics, driven by the region's growing manufacturing and industrial sector. This trend is further fueled by the increasing demand for efficiency, precision, and cost-effectiveness in production processes. Additionally, the rise of smart factories and the integration of AI technology in manufacturing is shaping consumer preferences, with a growing preference for automation and digital solutions. This shift is also influenced by the region's young and tech-savvy population, who are driving the demand for advanced and innovative industrial robotics.

    Trends in the market:
    In the MENA region, there has been a significant increase in the use of AI-powered industrial robotics in various industries such as manufacturing, healthcare, and logistics. This trend is expected to continue as companies increasingly invest in automation to improve efficiency and reduce costs. In addition, the integration of AI and robotics is enabling the development of more advanced and intelligent systems that can perform complex tasks with precision and accuracy. This has significant implications for industry stakeholders, as it allows them to streamline operations and improve productivity. However, there may also be concerns about the potential displacement of human workers and the need for upskilling to adapt to this technology-driven shift in the workforce.

    Local special circumstances:
    In MENA, the AI Industrial Robotics Market is driven by the region's growing manufacturing sector, particularly in the automotive industry. Additionally, governments in countries like Saudi Arabia and UAE are investing heavily in developing smart cities, which is expected to increase the demand for industrial robots. However, cultural traditions and religious norms in the region may pose challenges for the adoption of AI technology, leading to slower growth compared to other regions. Furthermore, varying regulations across different countries may also impact the market dynamics of the AI Industrial Robotics Market in MENA.

    Underlying macroeconomic factors:
    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 AI and robotics are experiencing faster market growth compared to regions with regulatory challenges and limited industrial funding. Additionally, the growing demand for automation and efficiency in industries such as manufacturing, logistics, and healthcare is driving the adoption of AI industrial robotics, especially in the MENA region.

    Global Comparison

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

    Most recent update: Jul 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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