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AI Industrial Robotics - ASEAN

ASEAN
  • The market size in the AI Industrial Robotics market is projected to reach US$387.80m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.65%, resulting in a market volume of US$1.53bn 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

    In the ASEAN region, the AI Industrial Robotics market is witnessing significant growth due to factors such as increasing adoption of AI technologies, rising demand for automated solutions, and the convenience offered by AI-powered robotics. This growth is being driven by the overall growth rate of the Artificial Intelligence market in the region. The increasing demand for efficient and precise industrial processes is also impacting the growth rate of the AI Industrial Robotics market.

    Customer preferences:
    With the rise of automation and the adoption of artificial intelligence in industrial settings, there has been a growing demand for AI-powered industrial robots in the ASEAN region. These robots not only increase efficiency but also reduce the risk of human error, making them highly desirable for businesses. Additionally, there is a growing trend towards collaborative robots, which work alongside humans and can be easily programmed for different tasks. This shift towards more advanced and flexible industrial robots is driven by the need for increased productivity and cost-effectiveness in manufacturing processes.

    Trends in the market:
    In ASEAN, we are seeing a trend of increased investment in AI industrial robotics technology, particularly in countries like Singapore, Malaysia, and Thailand. This is driven by the region's expanding manufacturing sector and the need for more efficient and precise production processes. Additionally, there is a growing focus on developing AI-driven solutions for specific industries, such as automotive, electronics, and healthcare. This trend is expected to continue as companies aim to stay competitive and optimize their operations. For industry stakeholders, this presents opportunities for partnerships and collaborations, as well as potential challenges in adapting to new technologies and training a workforce with the necessary skills.

    Local special circumstances:
    In ASEAN, the AI Industrial Robotics Market is heavily influenced by the region's growing manufacturing sector and the increasing adoption of automation technologies. Additionally, government initiatives promoting Industry 4.0 and the use of AI in manufacturing have further accelerated the demand for industrial robotics. In countries like Singapore and Malaysia, with their advanced infrastructure and skilled workforce, there is a higher adoption of AI industrial robotics in the manufacturing sector. In contrast, countries like Indonesia and Philippines, with their large and growing consumer markets, have seen a rise in demand for AI industrial robotics in the food and beverage and consumer goods industries.

    Underlying macroeconomic factors:
    The growth of the AI Industrial Robotics market is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investments in research and development. Countries with supportive government policies and significant investments in AI technologies are experiencing rapid market growth, while regions with limited resources and regulatory challenges are facing slower growth. Furthermore, the increasing demand for automation and efficiency in industries, coupled with the rising labor costs, is driving the adoption of AI industrial robotics, especially in developing countries.

    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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