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AI Industrial Robotics - Eastern Asia

Eastern Asia
  • The market size in the AI Industrial Robotics market is projected to reach US$2.03bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.45%, resulting in a market volume of US$7.92bn 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 Eastern Asia is experiencing significant growth, driven by the increasing adoption of AI technologies, growing awareness of its benefits among businesses, and the convenience of automated processes. This growth rate is also impacted by the development of advanced AI and robotics technology, as well as the increasing demand for more efficient and cost-effective solutions in industries such as manufacturing and healthcare.

    Customer preferences:
    The AI Industrial Robotics Market within the Artificial Intelligence Market is witnessing a growing demand for smart manufacturing solutions, driven by the increasing adoption of Industry 4.0 technologies in Eastern Asian countries. Moreover, the rise of e-commerce and the need for efficient and automated warehouse operations are also contributing to the market's growth. This shift towards automation and digitization is largely driven by the region's aging population and the need for cost-effective solutions to manage labor shortages.

    Trends in the market:
    In Eastern Asia, the AI Industrial Robotics Market within the Artificial Intelligence Market is experiencing a surge in adoption due to the region's strong manufacturing industry and focus on automation. This trend is expected to continue as the market is projected to reach a value of $9.6 billion by 2025. This growth is significant for industry stakeholders, as it presents opportunities for increased efficiency, reduced labor costs, and improved safety in the manufacturing process. Additionally, the rise of collaborative robots, or "cobots," is expected to further drive the growth of the AI Industrial Robotics Market in Eastern Asia, as these robots are designed to work alongside human workers and enhance productivity. This trend also highlights the increasing importance of human-robot interaction and collaboration in the industry.

    Local special circumstances:
    In Eastern Asia, the AI Industrial Robotics Market is influenced by the region's strong manufacturing and industrial sector, leading to a high demand for efficient and cost-effective automation solutions. Additionally, the cultural emphasis on technological advancements and innovation has created a favorable environment for the adoption of AI robotics. However, the regulatory landscape, particularly in China, poses challenges for foreign companies looking to enter the market. The Chinese government's policies and initiatives to promote domestic AI development have resulted in limited market access for international players.

    Underlying macroeconomic factors:
    The growth of the AI Industrial Robotics Market is also 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 industrial robotics are experiencing faster market growth compared to regions with regulatory challenges and limited industrial funding. Additionally, the increasing demand for automation in industries such as manufacturing, automotive, and healthcare is driving the growth of the AI industrial robotics market in Eastern Asia.

    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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