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AI Industrial Robotics - South America

South America
  • The market size in the AI Industrial Robotics market is projected to reach US$393.30m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.56%, resulting in a market volume of US$1.54bn 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: 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 America is experiencing significant growth, driven by the increasing adoption of artificial intelligence technologies, rising demand for automated industrial processes, and the convenience offered by AI-powered robotics. This significant growth rate is mainly impacted by the region's growing manufacturing and industrial sectors, which are increasingly incorporating AI robotics to improve efficiency and productivity.

    Customer preferences:
    As South America continues to see rapid growth in its manufacturing sector, there has been a corresponding increase in demand for AI industrial robotics solutions. This trend is being driven by the need for increased efficiency, precision, and cost-effectiveness in production processes. Additionally, there is a growing emphasis on incorporating advanced automation and AI capabilities to improve overall workflow and reduce labor costs. These factors are expected to drive significant growth in the AI industrial robotics market in the region.

    Trends in the market:
    In South America, there is a growing demand for AI-powered industrial robots as industries look to automate various processes. This trend is expected to continue as the region focuses on modernizing its manufacturing sector and increasing efficiency. Additionally, there is a rising interest in collaborative robots, also known as cobots, which work alongside human workers and can adapt to changing tasks and environments. This trend is significant as it allows for safer and more efficient collaboration between humans and robots, potentially increasing productivity and reducing costs for businesses. However, it also raises concerns about potential job displacement. Overall, the adoption of AI industrial robotics in South America is expected to have a significant impact on industries and workers in the region.

    Local special circumstances:
    In South America, the AI Industrial Robotics Market is experiencing significant growth due to the region's strong manufacturing sector and increasing adoption of automation and digitalization in industries such as automotive, electronics, and food and beverage. However, each country within the region has its own unique factors influencing the market. For example, in Brazil, the high cost of labor and the need for increased productivity has led to a greater demand for AI industrial robots. In contrast, in Argentina, the market is driven by the government's efforts to modernize the country's manufacturing sector and attract foreign investment. Additionally, in Chile, the increasing focus on sustainability and energy efficiency has resulted in a growing demand for AI industrial robots in the mining and renewable energy sectors. These local factors play a crucial role in shaping the dynamics of the AI Industrial Robotics Market in South America and should be carefully considered by market players.

    Underlying macroeconomic factors:
    The AI Industrial Robotics Market within the Artificial Intelligence Market is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investment in industrial infrastructure. Countries with advanced technological capabilities and supportive regulatory environments are experiencing faster market growth compared to regions with limited technological capabilities and regulatory challenges. Moreover, the increasing demand for automation and efficiency in industries, coupled with the rising labor costs, is driving the adoption of AI industrial robotics, further boosting market growth.

    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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